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DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:55:39
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PO_5587595713307787124279991
null
null
null
[ "BR_training__10671", "BB_validation__2691", "RR_training__11976", "CA-9_training__21766" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1259113274062574900359167
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
C63
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1
VASP
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MD_1024398629573454165794357
2024-08-16T15:25:56
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null
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[ "BR_training__2333", "BB_validation__1123", "RR_training__8605", "CA-9_training__39641" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1263489330507416881834081
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
2024-08-16T14:51:58
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[ "BR_training__15156", "BB_validation__741", "RR_training__12321", "CA-9_validation__5243" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1265767104697598467672715
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}
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:34:15
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[ "BR_training__9667", "BB_validation__2615", "CA-9_training__27858" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1268825022455903066359110
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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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:25:21
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PO_6898819389038166043589951
null
null
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[ "BR_training__16317", "BB_validation__2778", "RR_training__17167", "CA-9_training__36184" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1276156340292008998284844
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
C72
C
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VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:09:00
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PO_1289114556528148369670344
null
null
null
[ "BR_training__1914", "BB_validation__2612", "RR_training__9004", "CA-9_training__14396" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1276898173976174200573989
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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null
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MD_1024398629573454165794357
2024-08-16T14:48:00
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PO_8771564952725846633381309
null
null
null
[ "BR_training__16871", "BB_validation__981", "RR_training__14629", "CA-9_training__7184" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1277845756082809121117570
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
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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
A
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VASP
DFT-PBE
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:39:39
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PO_8300494217409989955050750
null
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[ "BR_training__7729", "BB_validation__2369", "RR_training__13010", "CA-9_training__20403" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1281075999791809314261831
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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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
C63
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1
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:57:21
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[ "BR_training__6883", "BB_validation__3921", "RR_training__6073", "CA-9_validation__5394" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1281551229699937090624106
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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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:41:27
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PO_1217359092296519473738969
null
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[ "BR_training__4605", "BB_validation__832", "RR_training__19129", "CA-9_training__23324" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1288544424928616642946392
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
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VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:32:51
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PO_8009920563811440458369113
null
null
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[ "BR_training__15945", "BB_validation__1032", "RR_training__19867", "CA-9_training__22990" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1288995486828573719651126
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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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:30:42
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PO_9614569401240720564245378
null
null
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[ "BR_validation__816", "BB_validation__3705", "CA-9_training__11379" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1289458464009178908309094
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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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
C64
C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:44:32
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PO_1629180255371416085812251
null
null
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[ "BR_validation__2974", "BB_validation__500", "RR_training__13514", "CA-9_training__3465" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1299511208618676847010805
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
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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
2024-08-16T14:21:26
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PO_1180345801818285214141362
null
null
null
[ "BR_training__11025", "BB_validation__2666", "RR_training__4324", "CA-9_training__10994" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1299515241463120427929434
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
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4,003
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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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[ true, true, true ]
[ 1, 1, 1 ]
3
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1
VASP
DFT-PBE
null
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null
[ [ -9.680719486695256e-22, 1.4163232122812446e-24, 1.0255624892066084e-22 ], [ 1.4163267057352588e-24, 2.3848403545183686e-25, 3.3607748479664573e-26 ], [ 1.0255633091750919e-22, 3.360753672822948e-26, -8.346389325421522e-23 ] ]
null
null
null
-568.28165
null
3.325984
8.30779
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:51:31
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PO_1288675145020448248659479
null
null
null
[ "BR_training__13845", "BB_validation__2036", "CA-9_training__5747" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
13023588070208615904714845207069829081256962917043185473151056214840013876085105833150346681694941442504977953516388081145056734797369089022972187350229223
CO_1302358807020861590471484
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
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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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MD_1024398629573454165794357
2024-08-16T15:25:44
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PO_6208811903340059244910721
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[ "BR_training__12249", "BB_validation__3657", "RR_training__3237", "CA-9_training__20889" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1306814130214860307848788
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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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:18:10
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[ "BR_training__4275", "BB_validation__630", "RR_training__14943", "CA-9_training__14650" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1307906668787709212311825
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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VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:14:55
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PO_2462995928392670291485170
null
null
null
[ "BR_training__2537", "BB_validation__3994", "RR_training__1829", "CA-9_training__18364" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1309469533988191305621386
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
C54
C
A
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[ "C" ]
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:24:17
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[ "BR_training__11163", "BB_validation__2393", "CA-9_validation__973" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:29
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CO_1310826053660928902061898
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
2024-08-16T14:35:53
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PO_1253255852048110701298097
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[ "BR_validation__2453", "BB_validation__3304", "RR_training__9295", "CA-9_training__22149" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1312202546653055355331810
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
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MD_1024398629573454165794357
2024-08-16T14:48:13
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[ "BR_training__15866", "BB_validation__346", "RR_training__15986", "CA-9_training__7091" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1315623611446705707838238
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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MD_1024398629573454165794357
2024-08-16T14:13:44
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[ "BR_validation__3937", "BB_validation__1094", "CA-9_training__23174" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1316452031063602024114278
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
2024-08-16T14:55:22
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[ "BR_training__1722", "BB_validation__1350", "RR_training__13553", "CA-9_training__18157" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
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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MD_1024398629573454165794357
2024-08-16T14:19:26
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[ "BR_training__9305", "BB_validation__2063", "RR_training__74", "CA-9_training__6671" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1317584496302110522245792
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
2024-08-16T15:23:21
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[ "BR_training__7664", "BB_validation__1628", "RR_training__10010", "CA-9_validation__11" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:29
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CO_1318627555236537664797371
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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{'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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null
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MD_1024398629573454165794357
2024-08-16T14:48:54
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PO_4937548684986932377066956
null
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[ "BR_validation__2312", "BB_validation__556", "RR_validation__3155", "CA-9_validation__6343" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1320555149965985095359562
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
C60
C
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:28:25
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[ "BR_training__14350", "BB_validation__1736", "CA-9_training__28522" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1322743618119500177684503
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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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:36:55
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PO_1224783666798260368016795
null
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[ "BR_validation__3158", "BB_validation__931", "RR_training__12569", "CA-9_validation__1274" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:29
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CO_1322841577078344091834491
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
C60
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MD_1024398629573454165794357
2024-08-16T15:11:50
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[ "BR_training__19890", "BB_validation__3959", "CA-9_validation__5080" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_1324602061752528014599591
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
2024-08-16T14:43:34
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[ "BR_training__1984", "BB_validation__1786", "CA-9_training__8790" ]
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2023-12-01T23:56:36
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CO_1326547496809077408785974
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
2024-08-16T14:12:17
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[ "BR_training__8346", "BB_validation__3398", "CA-9_training__19684" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1328887085165911436561401
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
2024-08-16T14:42:40
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[ "BR_training__9834", "BB_validation__2995", "RR_training__9125", "CA-9_training__20189" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1331279681645230429519230
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
2024-08-16T14:21:55
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PO_2516663791496738163140848
null
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[ "BR_training__8203", "BB_validation__318", "RR_validation__1951", "CA-9_training__18540" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1331807908073769298840999
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
C72
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1
VASP
DFT-PBE
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:20:55
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PO_3335599887975399453581158
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[ "BR_training__4452", "BB_validation__3642", "RR_training__10306", "CA-9_training__20340" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1336385825162705640019229
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
2024-08-16T14:44:29
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PO_1294819545362814691985311
null
null
null
[ "BR_training__13351", "BB_validation__664", "RR_training__13560", "CA-9_training__5154" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1340556491948180370728862
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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4,003
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4,003
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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
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T15:26:47
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PO_1081026744209055831109084
null
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[ "BR_training__15148", "BB_validation__2870", "RR_validation__262", "CA-9_training__22975" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1389769781717167643821261
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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MD_1024398629573454165794357
2024-08-16T14:51:36
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PO_8235164456107783015882553
null
null
null
[ "BR_validation__3976", "BB_validation__1525", "CA-9_training__19263" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1409824824444672418350547
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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4,003
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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
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1
VASP
DFT-PBE
null
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null
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{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T14:38:38
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PO_9956464251006521083681360
null
null
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[ "BR_validation__3791", "BB_validation__1659", "RR_training__1513", "CA-9_validation__7262" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1411582794042769346310108
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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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
C56
C
A
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[ "C" ]
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null
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MD_1024398629573454165794357
2024-08-16T14:38:58
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[ "BR_training__17990", "BB_validation__1213", "RR_validation__2990", "CA-9_training__37926" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1418549636943139606701782
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
2024-08-16T14:48:10
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[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_1429166064216120151286557
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
2024-08-16T14:52:21
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[ "BR_training__8714", "BB_validation__2682", "RR_training__14622", "CA-9_training__11895" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1446322761786817744244740
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
2024-08-16T14:35:23
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[ "BR_validation__529", "BB_validation__1182", "CA-9_training__1005" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1448420351556236341812392
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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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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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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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
C54
C
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1
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:22:32
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PO_9876216581655869367788790
null
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[ "BR_training__4515", "BB_validation__2153", "CA-9_training__6349" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1588880749747743753380486
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
C71
C
A
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:50:21
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PO_1027005852447083398891421
null
null
null
[ "BR_training__15452", "BB_validation__62", "RR_training__385", "CA-9_training__35940" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1594398595964964891539403
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
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MD_1024398629573454165794357
2024-08-16T14:41:49
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PO_1053964199458362488305048
null
null
null
[ "BR_training__17559", "BB_validation__560", "RR_training__2876", "CA-9_training__4059" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1649599747918220719269616
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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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
C63
C
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MD_1024398629573454165794357
2024-08-16T14:34:41
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[ "BR_training__7566", "BB_validation__422", "CA-9_training__21243" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1660965284563366381393750
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
2024-08-16T14:37:09
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PO_4082094874828970656206673
null
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[ "BR_training__19005", "BB_validation__1593", "RR_training__3492", "CA-9_training__11651" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1707625730565920824195179
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
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MD_1024398629573454165794357
2024-08-16T14:48:02
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PO_4054685578886529073189162
null
null
null
[ "BR_validation__2129", "BB_validation__2877", "RR_training__3694", "CA-9_training__7525" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_1714917523755482721184108
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}
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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1
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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:39:34
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PO_8134834921568709282144058
null
null
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[ "BR_training__17170", "BB_validation__1602", "RR_training__10209", "CA-9_training__38654" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_1733123476034901874471888
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
2024-08-16T14:33:00
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[ "BR_training__6823", "BB_validation__1491", "RR_validation__3844", "CA-9_validation__341" ]
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2023-12-01T23:58:29
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CO_1759318462174660778213696
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
2024-08-16T15:32:04
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2023-12-01T23:56:38
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CO_1808043732093858861469662
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
2024-08-16T14:17:40
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[ "BR_training__4445", "BB_validation__30", "RR_training__5245", "CA-9_training__33242" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1874974706251543059943747
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
C63
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T15:07:23
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PO_6785926366602026858283289
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[ "BR_training__14095", "BB_validation__3365", "CA-9_validation__635" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:29
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CO_1914641324772820753092997
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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2023
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MD_1024398629573454165794357
2024-08-16T14:14:36
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[ "BR_training__16752", "BB_validation__824", "RR_training__6215", "CA-9_validation__5789" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_1933183891241566204713580
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
2024-08-16T15:32:24
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[ "BR_training__13577", "BB_validation__3452", "RR_training__1388", "CA-9_training__18550" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_1961076698007383472642403
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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10.60732/95c19122
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DS_8zft35i5sbgd_0
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MD_1024398629573454165794357
2024-08-16T14:39:14
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PO_4381628166207924421088424
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[ "BR_training__15803", "BB_validation__804", "RR_training__8318", "CA-9_training__4291" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_1975094143497626732436937
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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2024-08-16T15:25:34
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2023-12-01T23:56:38
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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
2024-08-16T15:19:48
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2023-12-01T23:56:36
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CO_1981835180220183753926705
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
2024-08-16T15:08:25
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2023-12-01T23:56:37
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CO_2014950756638668152058758
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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VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:37:45
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PO_2680350427736919167200798
null
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[ "BR_training__15342", "BB_validation__3970", "CA-9_training__6674" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2107960766382801515584872
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
C59
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VASP
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MD_1024398629573454165794357
2024-08-16T15:29:47
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[ "BR_training__10733", "BB_validation__2868", "RR_validation__809", "CA-9_training__2553" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_2124771461886956936551627
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
2024-08-16T14:16:08
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2023-12-01T23:58:29
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CO_2127596598418869733867742
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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MD_1024398629573454165794357
2024-08-16T14:25:29
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[ "BR_training__17958", "BB_validation__2282", "CA-9_training__11827" ]
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2023-12-01T23:56:37
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CO_2173117394394693750363101
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
C50
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VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:24:44
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PO_2457833207036237014808364
null
null
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[ "BR_validation__330", "BB_validation__2784", "CA-9_training__29138" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_2220469550412457775223661
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
C71
C
A
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T14:25:30
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[ "BR_training__12068", "BB_validation__3588", "RR_training__2400", "CA-9_training__29975" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_2237215800862976050608343
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
2024-08-16T15:20:56
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null
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[ "BR_training__16937", "BB_validation__2373", "RR_validation__2884", "CA-9_validation__1872" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_2244700900604678636871386
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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DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:23:20
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[ "BR_training__12431", "BB_validation__359", "CA-9_training__9190" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2278440291823725007118421
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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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:07:53
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PO_7884363792968537807735731
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[ "BR_training__2077", "BB_validation__3662", "RR_training__1029", "CA-9_training__37027" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_2292077847075237263258916
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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VASP
DFT-PBE
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null
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MD_1024398629573454165794357
2024-08-16T14:24:04
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PO_5653338084661325253022340
null
null
null
[ "BR_training__622", "BB_validation__3545", "RR_validation__606", "CA-9_training__14552" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_mr2qaiqh2sx2_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2292488744790231547197910
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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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
C53
C
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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:19:50
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PO_1297497416062201414009623
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[ "BR_training__16114", "BB_validation__382", "CA-9_validation__5862" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:31
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CO_2374234231739549417290938
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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MD_1024398629573454165794357
2024-08-16T14:58:13
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PO_4055454865972627888535579
null
null
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[ "BR_training__10889", "BB_validation__1627", "RR_training__393", "CA-9_training__5203" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_2377257063163346210609289
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}
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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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1
VASP
DFT-PBE
null
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MD_1024398629573454165794357
2024-08-16T15:30:06
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PO_4224522652885722452875514
null
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[ "BR_validation__419", "BB_validation__3045", "CA-9_training__1112" ]
[ "DS_9cdtww9pcjqd_0", "DS_fgakfcwhn9zc_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
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CO_2379837644475862012798964
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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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T15:21:53
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null
null
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[ "BR_training__15638", "BB_validation__3957", "RR_training__750", "CA-9_training__32232" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_2454737022784493689925965
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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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
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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
[ [ 4.098919146134176e-25, 6.133444462677587e-24, 5.265517155448066e-24 ], [ 6.133447721061202e-24, 1.0072168125762561e-22, -1.429146748387577e-24 ], [ 5.265516085176941e-24, -1.4291480195923104e-24, 2.165411550547355e-23 ] ]
null
null
null
-616.68309
null
3.385557
7.593992
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:02:39
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PO_2559227924012931466668749
null
null
null
[ "BR_training__17788", "BB_validation__2287", "CA-9_training__27284" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
2468013243245615933384317661783889951070260948305465733768782621480495333900180048589162193832122513095126074165762629326028467633364217868020327908342132
CO_2468013243245615933384317
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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null
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MD_1024398629573454165794357
2024-08-16T15:36:30
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PO_4038029589990080000771856
null
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[ "BR_training__917", "BB_validation__355", "RR_training__9165", "CA-9_training__2366" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2476274646889447781899086
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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null
null
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MD_1024398629573454165794357
2024-08-16T15:38:05
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PO_1311519832513390667453330
null
null
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[ "BR_validation__2113", "BB_validation__3795", "RR_training__6949", "CA-9_validation__2529" ]
[ "DS_07zjrtacjg3z_0", "DS_fgakfcwhn9zc_0", "DS_tag5zubl21w8_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_2564894159772343082830337
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
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
C71
C
A
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DFT-PBE
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null
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MD_1024398629573454165794357
2024-08-16T14:42:03
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PO_9760176680179790925927618
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[ "BR_training__16525", "BB_validation__3058", "RR_training__14467", "CA-9_training__1805" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_2588625940255398709398822
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
C50
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1
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DFT-PBE
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MD_1024398629573454165794357
2024-08-16T14:13:13
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PO_9441946947119184970981404
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[ "BR_training__10909", "BB_validation__1614", "CA-9_validation__4393" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_2655845796727074268395105
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
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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MD_1024398629573454165794357
2024-08-16T15:14:36
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PO_3743936271992374376264472
null
null
null
[ "BR_training__10870", "BB_validation__3741", "CA-9_training__21228" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2662159949569104508741948
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
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
2024-08-16T15:03:01
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[ "BR_training__9043", "BB_validation__175", "CA-9_training__26860" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_2667408161220103468297913
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
2024-08-16T15:09:49
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[ "BR_training__18084", "BB_validation__120", "CA-9_training__34366" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:38
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CO_2674925133194210705970999
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
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MD_1024398629573454165794357
2024-08-16T15:28:40
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[ "BR_training__664", "BB_validation__251", "RR_training__13558", "CA-9_training__25122" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_2686528917171106738614205
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
2024-08-16T15:33:25
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PO_9785625981354497283081575
null
null
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[ "BR_training__17937", "BB_validation__3048", "CA-9_training__26256" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2689779163064397173506398
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}
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
null
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null
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MD_1024398629573454165794357
2024-08-16T14:43:22
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PO_7166448395004024944015737
null
null
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[ "BR_training__4062", "BB_validation__214", "CA-9_training__26120" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2698530635395663622026741
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
VASP
DFT-PBE
null
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null
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MD_1024398629573454165794357
2024-08-16T14:26:54
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PO_1059561325759530981012604
null
null
null
[ "BR_training__3983", "BB_validation__779", "RR_training__12581", "CA-9_training__37154" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_2699583779875326866839669
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
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
[ [ 2.8606514432011456e-23, 1.4878555332453954e-23, 1.781442244007064e-26 ], [ 1.4880810818831426e-23, -2.9323721887668293e-24, 2.9608377613773946e-24 ], [ 1.781444455026706e-26, 2.960863767365087e-24, 6.915364812423056e-24 ] ]
null
null
null
-608.219435
null
2.097897
6.226004
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:09:42
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PO_8267003012586694513274031
null
null
null
[ "BR_training__3164", "BB_validation__2479", "CA-9_training__7043" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2713653349273144362228764
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
C71
C
A
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[ "C" ]
[ 1 ]
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
2024-08-16T14:37:05
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PO_6913380583986280499726231
null
null
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[ "BR_training__15215", "BB_validation__996", "RR_training__13109", "CA-9_training__25512" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_2733798550072785528997037
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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1
VASP
DFT-PBE
null
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null
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null
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MD_1024398629573454165794357
2024-08-16T15:27:25
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PO_4659076891279866138729411
null
null
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[ "BR_training__14401", "BB_validation__3618", "CA-9_training__15705" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_2748162854913044365255356
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
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
[ [ 5.713687132177848e-22, 8.539898074568946e-24, -2.001263035856167e-24 ], [ 8.541026005133853e-24, 1.3490668916619617e-23, 9.493334477302638e-25 ], [ -2.0010610652450262e-24, 9.493563615311228e-25, 1.4366550675736132e-23 ] ]
null
null
null
-605.066549
null
2.759137
7.231337
{"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"}
MD_1024398629573454165794357
2024-08-16T15:07:06
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PO_4293061001754349996426545
null
null
null
[ "BR_training__13620", "BB_validation__490", "RR_training__2078", "CA-9_training__438" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:35
2758459362143717724391762605770740598262332855701321899071002057414262204636199837319618489980707755722995334773852785961012979284912849225426364133572361
CO_2758459362143717724391762
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
C71
C
A
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[ "C" ]
[ 1 ]
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
2024-08-16T15:22:07
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[ "BR_training__15789", "BB_validation__1163", "RR_training__14435", "CA-9_training__38119" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2761180738287818754727666
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
2024-08-16T15:07:19
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[ "BR_training__16974", "BB_validation__836", "CA-9_validation__4624" ]
[ "DS_fw7m5d8b0fa9_0", "DS_07zjrtacjg3z_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:58:30
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CO_2796734549814722489105336
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
2024-08-16T14:35:06
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PO_2634293815843903866791381
null
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[ "BR_training__18475", "BB_validation__3138", "CA-9_training__27595" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:36
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CO_2837031495989279182663925
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
2024-08-16T14:48:24
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PO_9732033540752992434469698
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[ "BR_training__11730", "BB_validation__3649", "RR_training__14587", "CA-9_training__28473" ]
[ "DS_fw7m5d8b0fa9_0", "DS_tag5zubl21w8_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:37
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CO_2898998418595558082767786
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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MD_1024398629573454165794357
2024-08-16T14:44:48
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PO_2740369856801900922907465
null
null
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[ "BR_training__15026", "BB_validation__1122", "CA-9_training__39225" ]
[ "DS_fw7m5d8b0fa9_0", "DS_9cdtww9pcjqd_0", "DS_8zft35i5sbgd_0" ]
2023-12-01T23:56:39
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CO_2913351288405501266592148
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
C72
C
A
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[ "C" ]
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3
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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
2024-08-16T15:19:27
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PO_4239279559172040024108554
null
null
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[ "BR_training__4892", "BB_validation__2066", "RR_training__16389", "CA-9_training__29835" ]
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2023-12-01T23:56:39
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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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2024-08-16T15:01:53
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2023-12-01T23:56:39
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CO_3039087699182208700408640
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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2024-08-16T14:19:26
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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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