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DFT-PBE
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null
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MD_1024398629573454165794357
2024-08-16T14:42:43
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PO_5845575029824936745589006
null
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[ "BR_training__8096", "BB_validation__3947", "CA-9_training__1161" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1000868580155434019352537
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:17:08
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[ "BR_validation__2642", "BB_validation__1495", "RR_training__9592", "CA-9_training__12825" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1001455557415068360907140
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:35:38
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null
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[ "BR_validation__3922", "BB_validation__1353", "CA-9_training__14314" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1004516595854741783111806
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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233,034
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 8.342741869521971e-26, -4.30378430234732e-23, 3.0844666873935457e-24 ], [ -4.3037878127539176e-23, 4.782408806861641e-22, -1.4514308754826037e-26 ], [ 3.0844690601636882e-24, -1.451441045268682e-26, 2.9910804291299455e-23 ] ]
null
null
null
-617.668127
null
2.931858
7.494328
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:47:24
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PO_1177124860227587348199903
null
null
null
[ "BR_training__11505", "BB_validation__3794", "RR_training__18374", "CA-9_validation__4456" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1005567616803646795418591
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C63
C
A
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[ "C" ]
[ 1 ]
1
63
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:02:49
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PO_1000555017297595963712850
null
null
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[ "BR_validation__3131", "BB_validation__3252", "RR_training__8188", "CA-9_training__22618" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1005751248826789551697233
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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1
VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T15:22:07
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PO_1198379940268217153991882
null
null
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[ "BR_validation__2313", "BB_validation__765", "RR_training__15158", "CA-9_training__31762" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1007377377866098424833814
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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233,034
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
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MD_1024398629573454165794357
2024-08-16T15:03:41
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PO_1319124300934225497525954
null
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[ "BR_training__16458", "BB_validation__1476", "RR_training__4029", "CA-9_training__22666" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1014120818320764579776973
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:57:19
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PO_3918708689817677259257809
null
null
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[ "BR_training__17021", "BB_validation__2359", "CA-9_training__32199" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1021077016369294579034557
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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null
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MD_1024398629573454165794357
2024-08-16T14:34:39
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PO_3078137237854890851436639
null
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[ "BR_training__16762", "BB_validation__3224", "RR_training__1804", "CA-9_training__4201" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1023031046149245202807320
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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2023
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
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null
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null
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:20:43
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PO_5312133788547448622367203
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[ "BR_training__7207", "BB_validation__2296", "CA-9_training__39498" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1032851522255633178365733
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T14:33:57
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PO_1053383401421522618284097
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[ "BR_training__12642", "BB_validation__541", "RR_training__9351", "CA-9_training__26930" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1032962255386651175177918
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:35:26
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2023-12-01T23:56:37
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CO_1036052106223213769927111
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T15:21:45
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2023-12-01T23:58:29
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CO_1038976782346749301158462
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:59:42
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[ "BR_training__16452", "BB_validation__34", "CA-9_training__1892" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1043575535117348864240443
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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null
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MD_1024398629573454165794357
2024-08-16T14:13:33
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PO_8621447331375923300102942
null
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null
[ "BR_validation__2423", "BB_validation__3183", "CA-9_training__10536" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1044538389883439648861883
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:58:39
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PO_9735187983062336597324895
null
null
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[ "BR_training__19708", "BB_validation__2857", "CA-9_training__12902" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1054808068040342487346743
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:18:05
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PO_1118677268771606503863329
null
null
null
[ "BR_validation__1444", "BB_validation__2685", "RR_training__12951", "CA-9_training__32099" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1056897577768153848970351
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
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233,034
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4,003
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
C
A
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 2.341819253004304e-22, -4.407274282181518e-25, 4.847211568916443e-27 ], [ -4.407278719345217e-25, 1.0899464896103496e-22, -9.790386264973026e-24 ], [ 4.847272337745324e-27, -9.790395030915352e-24, 4.506940076527666e-23 ] ]
null
null
null
-616.986225
null
3.184862
6.235316
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:03:57
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PO_5395436986739644769370415
null
null
null
[ "BR_validation__3313", "BB_validation__327", "RR_training__13741", "CA-9_training__19485" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1059823392911939891976285
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C64
C
A
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[ "C" ]
[ 1 ]
1
64
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:01:06
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[ "BR_training__14027", "BB_validation__2263", "RR_training__12313", "CA-9_training__32358" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1060003806963001730771181
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T14:12:47
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PO_1272886101307617657520885
null
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[ "BR_training__13233", "BB_validation__3565", "CA-9_training__11759" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1064184325850400039870363
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:13:34
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PO_9021890552771781981196302
null
null
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[ "BR_training__15877", "BB_validation__3477", "RR_training__14940", "CA-9_training__19445" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1065069013693348427791440
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:18:09
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PO_1460862036659185276716769
null
null
null
[ "BR_validation__2089", "BB_validation__717", "CA-9_training__11525" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1070370432924832478900732
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:37:45
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PO_1247450812984536340840879
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[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T14:12:18
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2023-12-01T23:56:37
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CO_1076812634580970529469441
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 3.6379737629190315e-21, 2.702668511593224e-25, -2.412092124951508e-22 ], [ 2.702542005699236e-25, -2.0066880599395306e-22, -1.981930476958907e-21 ], [ -2.411702347729173e-22, -1.981988573643983e-21, -9.555976767988732e-24 ] ]
null
null
null
-553.653216
null
2.846577
5.828794
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:03:55
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PO_3274118016048563249754831
null
null
null
[ "BR_training__12489", "BB_validation__3038", "CA-9_training__15853" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1078969515763441259384153
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
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233,034
0
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0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
A
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[ "C" ]
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1
71
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:12:39
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[ "BR_training__14136", "BB_validation__23", "RR_training__5775", "CA-9_training__4003" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1080714979863456361433892
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:22:02
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PO_1001444670219805845651263
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[ "BR_training__19145", "BB_validation__3638", "CA-9_training__33797" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1081897549346793107630474
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:13:55
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PO_3286467544763506272235711
null
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[ "BR_validation__3303", "BB_validation__1797", "RR_training__11754", "CA-9_training__12959" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1083676517060059888560904
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:34:05
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PO_2402246107923482027196771
null
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[ "BR_training__1291", "BB_validation__2640", "RR_training__15699", "CA-9_training__37424" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1084930478771916074723385
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
C
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1
VASP
DFT-PBE
null
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null
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null
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:24:17
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PO_1298616651001824898319807
null
null
null
[ "BR_training__13346", "BB_validation__3851", "CA-9_validation__7659" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1088529515818267824968781
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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-501.735936
10,202.734006
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2023-12-01T18:52:50
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[ 3 ]
2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C64
C
A
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[ "C" ]
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:02:30
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PO_3766316423258623159925763
null
null
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[ "BR_training__19651", "BB_validation__1936", "RR_training__15355", "CA-9_training__24927" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1091945438784299908882192
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:21:33
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PO_8187906418788345561206286
null
null
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[ "BR_validation__2538", "BB_validation__1467", "RR_training__12945", "CA-9_validation__4824" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1093694035351072334514430
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
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233,034
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4,003
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4,003
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
C
A
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[ true, true, true ]
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1
VASP
DFT-PBE
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null
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MD_1024398629573454165794357
2024-08-16T14:11:43
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PO_9109719076728813628292984
null
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[ "BR_training__10183", "BB_validation__182", "RR_training__8827", "CA-9_training__15522" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1095021758432529516503574
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:17:05
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PO_1128523411896732332499267
null
null
null
[ "BR_training__1028", "BB_validation__1836", "RR_validation__2004", "CA-9_validation__3068" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1095826450377198605102717
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
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233,034
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4,003
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C54
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:24:33
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PO_6348452280093341072081722
null
null
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[ "BR_training__15223", "BB_validation__1075", "RR_validation__137", "CA-9_validation__6112" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1096948661765211878990041
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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null
null
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MD_1024398629573454165794357
2024-08-16T14:13:18
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PO_2211638688939602260510774
null
null
null
[ "BR_validation__1556", "BB_validation__2295", "RR_validation__457", "CA-9_training__23718" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1097372102869575199581269
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
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4,003
0
4,003
0
4,003
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10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
A
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 5.124385469488676e-21, -1.0853911025392677e-23, -6.822754736773454e-27 ], [ -1.0850978784353631e-23, 4.1580819038977715e-21, -4.361055648840603e-25 ], [ -6.826186683849062e-27, -4.361241893372944e-25, 5.474236600960215e-23 ] ]
null
null
null
-603.041744
null
3.163795
7.034055
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:12:04
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PO_9504822313142298408085519
null
null
null
[ "BR_training__13517", "BB_validation__2216", "RR_training__9480", "CA-9_validation__3791" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1101027819119532327827367
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
C
A
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[ "C" ]
[ 1 ]
1
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:34:34
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[ "BR_training__15976", "BB_validation__435", "RR_training__18321", "CA-9_training__12382" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1108415733645631601908478
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:37:27
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PO_4577393908783461317221662
null
null
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[ "BR_training__4129", "BB_validation__659", "CA-9_validation__3689" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1111294496121069871095059
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C54
C
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MD_1024398629573454165794357
2024-08-16T15:18:37
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[ "BR_training__14668", "BB_validation__215", "CA-9_validation__4079" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1112986997507493209888944
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
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MD_1024398629573454165794357
2024-08-16T14:23:09
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[ "BR_training__13263", "BB_validation__1169", "CA-9_validation__1215" ]
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2023-12-01T23:58:29
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CO_1113979387088542439019453
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:36:08
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[ "BR_training__4000", "BB_validation__553", "CA-9_validation__2958" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1115256062260519578924218
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:33:01
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[ "BR_training__12169", "BB_validation__2042", "CA-9_training__34675" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1116398604286474401799775
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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VASP
DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:34:04
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PO_8740253259063435461609361
null
null
null
[ "BR_training__2807", "BB_validation__3539", "CA-9_training__29735" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1118464204140783259678044
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:37:48
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[ "BR_training__1720", "BB_validation__191", "RR_training__11152", "CA-9_training__5993" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1121117845938164175145250
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:17:07
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PO_8116866293969420302498130
null
null
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[ "BR_validation__167", "BB_validation__1927", "CA-9_validation__3008" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1124914258993097089309101
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:22:47
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PO_1890529407722030929156718
null
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[ "BR_training__4058", "BB_validation__71", "CA-9_validation__2573" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1125956312108816605240038
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C59
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:12:56
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PO_1057686981204556420345283
null
null
null
[ "BR_training__12952", "BB_validation__3886", "RR_training__10696", "CA-9_training__15042" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1127479158005901889962080
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
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233,034
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10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C63
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:49:04
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[ "BR_validation__2507", "BB_validation__4", "RR_training__13338", "CA-9_training__7124" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:25:30
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PO_2506846123039343921360021
null
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[ "BR_training__14450", "BB_validation__2982", "CA-9_training__6476" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1132772519944434777439919
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ -1.6943255527099537e-20, -1.7127427974917214e-22, -5.771928108763086e-27 ], [ -1.712743360962946e-22, -7.943999986521188e-20, 3.7635854502115065e-24 ], [ -5.772186970773472e-27, 3.76358773179566e-24, -1.3744818177106247e-19 ] ]
null
null
null
-644.061196
null
2.9631
7.371415
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:18:01
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PO_3299858573112343242036436
null
null
null
[ "BR_training__730", "BB_validation__190", "RR_training__1240", "CA-9_training__17185" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
11350850418855183541111716447456236093074002127026621327901129202095293973042226359442352026443914818687680361803713541321643966787645202558913545687553563
CO_1135085041885518354111171
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C63
C
A
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[ "C" ]
[ 1 ]
1
63
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:12:10
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[ "BR_training__7642", "BB_validation__3583", "CA-9_validation__6292" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1138372131066376752907171
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T15:18:43
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[ "BR_training__9340", "BB_validation__3894", "CA-9_training__34339" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1138818548840429255080872
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:19:50
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[ "BR_training__19314", "BB_validation__3267", "RR_training__16531", "CA-9_training__28755" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T15:01:51
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[ "BR_training__19671", "BB_validation__1299", "RR_training__17953", "CA-9_training__11729" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1148159082754562826128826
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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MD_1024398629573454165794357
2024-08-16T15:07:08
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[ "BR_training__5673", "BB_validation__2664", "RR_training__15736", "CA-9_training__14571" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T14:58:23
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2023-12-01T23:56:36
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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null
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MD_1024398629573454165794357
2024-08-16T14:29:46
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PO_1257324725690337688550604
null
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[ "BR_training__4973", "BB_validation__343", "RR_training__17699", "CA-9_validation__5234" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1154552320973309319565495
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
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null
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MD_1024398629573454165794357
2024-08-16T15:18:29
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PO_2551409261491342736424707
null
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[ "BR_training__12567", "BB_validation__3624", "RR_validation__1172", "CA-9_validation__5338" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1154713121629880663051215
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C60
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DFT-PBE
null
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null
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null
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:34:08
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PO_1277776195397846992329138
null
null
null
[ "BR_training__7401", "BB_validation__2246", "CA-9_training__12471" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1156122366113926794632669
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:45:38
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[ "BR_training__5038", "BB_validation__3411", "CA-9_training__21081" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1162980598454126939230864
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T14:38:42
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PO_5746343946625602260768312
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null
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[ "BR_training__8152", "BB_validation__3885", "RR_training__17781", "CA-9_validation__5085" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1163049384879200627986684
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C49
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null
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MD_1024398629573454165794357
2024-08-16T14:33:35
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PO_1150561273624724871082373
null
null
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[ "BR_training__13311", "BB_validation__2610", "CA-9_training__28534" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1165672335472101417088845
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T14:49:00
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PO_4964636276125814802832357
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[ "BR_training__9842", "BB_validation__2405", "RR_training__11752", "CA-9_validation__2250" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1170139681367281042258386
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C60
C
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DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:13:20
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PO_2871294393600793067679905
null
null
null
[ "BR_training__2251", "BB_validation__2990", "RR_training__5050", "CA-9_training__2084" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1171259332428601830986626
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
C
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1
VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T14:19:59
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PO_2800968633789933892076080
null
null
null
[ "BR_training__11047", "BB_validation__2453", "RR_training__6179", "CA-9_training__37905" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1172775654570427438851223
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
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4,003
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10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
C
A
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:20:14
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[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T14:45:23
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2023-12-01T23:56:38
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T14:12:21
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[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1184336183956766592130795
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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MD_1024398629573454165794357
2024-08-16T14:49:48
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[ "BR_validation__3709", "BB_validation__2943", "CA-9_training__36611" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T15:34:55
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[ "BR_training__2982", "BB_validation__1459", "RR_validation__3399", "CA-9_validation__2706" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1187721021807059532208087
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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2023
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:13:39
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PO_3109017587074394033727290
null
null
null
[ "BR_validation__1441", "BB_validation__861", "RR_training__15304", "CA-9_training__3213" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1191325435337906834580997
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
A
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[ true, true, true ]
[ 1, 1, 1 ]
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:50:49
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[ "BR_training__18737", "BB_validation__397", "CA-9_training__8083" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:23:18
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[ "BR_training__539", "BB_validation__3669", "RR_training__15516", "CA-9_training__13423" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1199754687953872817195422
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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VASP
DFT-PBE
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MD_1024398629573454165794357
2024-08-16T15:25:44
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PO_5684308055662613220192398
null
null
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[ "BR_training__4041", "BB_validation__1632", "RR_training__18738", "CA-9_training__20763" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1200832299156828098120232
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
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[ true, true, true ]
[ 1, 1, 1 ]
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1
VASP
DFT-PBE
null
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:39:07
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PO_4731881633747771397514072
null
null
null
[ "BR_training__6093", "BB_validation__3422", "CA-9_training__3634" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1201873817680848604352031
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T15:27:38
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PO_1284787031614773155697563
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[ "BR_training__12895", "BB_validation__2988", "RR_training__18562", "CA-9_training__11322" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1202205783929065339388298
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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MD_1024398629573454165794357
2024-08-16T14:20:51
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[ "BR_training__6100", "BB_validation__3761", "CA-9_training__1938" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1204939413402254630746207
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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MD_1024398629573454165794357
2024-08-16T15:20:19
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PO_1202853857997152250942929
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[ "BR_training__18530", "BB_validation__2807", "RR_training__16118", "CA-9_training__17816" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1214600658515123082745601
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T15:02:07
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PO_1068464856732365678994215
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[ "BR_training__6246", "BB_validation__1889", "CA-9_validation__2438" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1219732315458510401379269
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:14:21
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PO_3504689606127357822114211
null
null
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[ "BR_training__3702", "BB_validation__1358", "RR_training__7792", "CA-9_training__19050" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1220864823002950708014822
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C49
C
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:17:41
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PO_7718540974093656823277884
null
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[ "BR_training__19947", "BB_validation__1268", "CA-9_training__26919" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1226783974422913928601126
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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null
null
null
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MD_1024398629573454165794357
2024-08-16T15:20:35
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PO_5226373014480955280310299
null
null
null
[ "BR_training__6370", "BB_validation__706", "RR_training__1176", "CA-9_training__32002" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1229011528964879871074861
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
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4,003
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4,003
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4,003
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10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
A
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MD_1024398629573454165794357
2024-08-16T15:04:57
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PO_9778465615141255360822545
null
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[ "BR_training__14216", "BB_validation__1695", "CA-9_training__18870" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1230333954067255939990621
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C54
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:56:37
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PO_3425748910493463400068711
null
null
null
[ "BR_training__831", "BB_validation__3375", "CA-9_training__38272" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1230833192094755244862612
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
C
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1
VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T14:17:50
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PO_1034940855041310741181014
null
null
null
[ "BR_validation__787", "BB_validation__2931", "RR_training__9083", "CA-9_training__37096" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1231131921134464064679854
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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233,034
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
C
A
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:31:24
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PO_7975443759250380569718583
null
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[ "BR_training__12623", "BB_validation__3776", "CA-9_training__274" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1231753610162728166972826
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:48:45
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PO_1041238923240196503475223
null
null
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[ "BR_validation__2987", "BB_validation__1660", "CA-9_training__8316" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1235279228717913168877680
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C24
C
A
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1
VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T14:14:15
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PO_4322496348173900089048289
null
null
null
[ "BR_training__4972", "BB_validation__3141", "CA-9_training__17666" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1237530585321771504236983
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
C
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VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T14:53:50
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PO_2665152125369022996740967
null
null
null
[ "BR_training__17993", "BB_validation__1621", "RR_training__296", "CA-9_training__39247" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1237591988094528498861890
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
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4,003
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10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C63
C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:32:17
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PO_1191768460550760864733057
null
null
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[ "BR_training__3785", "BB_validation__3499", "CA-9_training__2576" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1238735143606617771231464
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
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2023
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:20:37
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PO_1311938559594875858594105
null
null
null
[ "BR_training__19414", "BB_validation__3872", "CA-9_training__15148" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1238876812620225695655337
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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233,034
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4,003
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C54
C
A
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:37:36
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PO_9305465593450455482550970
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[ "BR_training__8539", "BB_validation__1336", "RR_training__9089", "CA-9_training__29087" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1238898389407872617459394
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:11:43
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PO_9183548466166906226179170
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[ "BR_training__7311", "BB_validation__3436", "RR_training__16104", "CA-9_validation__3874" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1241660387996854208232519
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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233,034
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4,003
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4,003
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10,202.734006
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 6.005732990300084e-24, 7.046138831470232e-25, 4.0609896639723937e-25 ], [ 7.051337019932197e-25, -1.8588621890385058e-23, 9.854732035027856e-25 ], [ 4.061182131935404e-25, 9.854831545997649e-25, 1.1139268145052008e-23 ] ]
null
null
null
-608.071828
null
2.198122
6.252462
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:40:51
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PO_3137348134969382687707904
null
null
null
[ "BR_training__1609", "BB_validation__289", "CA-9_training__10818" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
12419118495179369394862875381709089038754336540860488185776230358420809108068269292668561252577834830667589871968657296301239133118276729915894191686450718
CO_1241911849517936939486287
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C72
C
A
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[ "C" ]
[ 1 ]
1
72
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:02:21
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PO_9095436766975340427592368
null
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[ "BR_validation__1744", "BB_validation__1072", "RR_training__19919", "CA-9_training__9572" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1246389473442675942858816
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
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DS_8zft35i5sbgd_0
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VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:08:57
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PO_3677085077529011218679905
null
null
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[ "BR_training__8018", "BB_validation__1951", "RR_validation__3521", "CA-9_training__39676" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1249240890989653293322757
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C50
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null
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MD_1024398629573454165794357
2024-08-16T14:21:52
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PO_5298379849037943514735571
null
null
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[ "BR_training__19785", "BB_validation__843", "RR_training__12214", "CA-9_training__5209" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1249436315517620814562407
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C71
C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:48:33
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PO_1217337665916031043756386
null
null
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[ "BR_training__19557", "BB_validation__2667", "RR_training__4357", "CA-9_validation__2296" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1250101081231686347541410
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
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2023-12-01T18:52:50
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CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
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DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0
C55
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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ 2.6420002002654285e-22, 8.771830174019877e-26, 2.1305289365570924e-25 ], [ 8.771827846971917e-26, -2.5912430238908547e-22, -6.5207456293501734e-24 ], [ 2.1305153763709317e-25, -6.520751903382015e-24, -7.143885431060865e-22 ] ]
null
null
null
-487.891148
null
2.861194
6.512391
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:16:28
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PO_1869218791026288176802344
null
null
null
[ "BR_training__1161", "BB_validation__3873", "CA-9_training__14710" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
12584312221782205566626671018717912111241810121707407250023993753523301005669217056999775891650146098408796480433003594056780630699431215325483991261909434
CO_1258431222178220556662667
CA-9_BB_validation
[ "Daniel Hedman", "Tom Rothe", "Gustav Johansson", "Fredrik Sandin", "J. Andreas Larsson", "Yoshiyuki Miyamoto" ]
Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
[ "C" ]
1
4,003
4,003
233,034
0
4,003
0
4,003
0
4,003
-501.735936
10,202.734006
0
2023-12-01T18:52:50
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
CC-BY-4.0
{'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None}
10.60732/95c19122
9987403613029629768726893456954031024119887046898145763926846230248531061270033011778359623539974970922272163569034827090035859539661759104921473348571593
DS_8zft35i5sbgd_0
CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0