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Al33
Al
A
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[ "Al" ]
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DFT-PBE
null
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null
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{"input": {"ALGO": "fast", "EDIFF": "1E-8", "ENCUT": "400", "IBRION": "0", "ICHARG": "0", "ISIF": "2", "ISMEAR": "1", "ISTART": "0", "ISYM": "0", "KBLOCK": "10", "KGAMMA": "F", "KPAR": "16", "KSPACING": "0.24", "LCHARG": "T", "LREAL": "F", "LWAVE": "F", "MAXMIX": "50", "NBLOCK": "1", "NELM": "200", "NELMIN": "4", "NPAR": "8", "POTIM": "2", "PREC": "A", "PSTRESS": "0", "SIGMA": "0.15", "SMASS": "-1", "file-type": "INCAR"}, "hash": "12135822429309496971881212100548754870478961791137930949625877367285087883313386750731592539663054471050405358418449513543996992751906584969573924479043013", "id": "MD_1213582242930949697188121"}
MD_1213582242930949697188121
2024-08-16T14:28:35
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PO_1414988705277321335022579
{"materials-project-id": "mp-134", "hash": "930011929653973582180846073299680827437022025687644079123128187039650194767557092970609420019523229875568620757991932789349995522096392043901851193061019", "id": "MD_9300119296539735821808460"}
MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_interstitials_FCC2_9" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_6347974124004570069129998
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
[ "Al" ]
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2023-12-01T17:52:38
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
Al
A
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[ "Al" ]
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MD_1213582242930949697188121
2024-08-16T14:33:36
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T240_8_mp-1239196_elastic_2" ]
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2023-12-01T22:52:29
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CO_1162667539926641677484580
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:14:01
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PO_6993047463771508589061943
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_8" ]
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2023-12-01T22:52:29
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CO_1209162728259120480915893
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
[ "Al" ]
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2023-12-01T17:52:38
[ [ 1, 1, 1 ] ]
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[ 1 ]
GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
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MD_1213582242930949697188121
2024-08-16T14:44:17
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PO_1278171167359689634328012
{"materials-project-id": "mp-1239196", "hash": "8342077683094605614607324857260170669140498379261154861648293746153348359965509525658547092727097566869581532283708695391511341702084057581224555682625117", "id": "MD_8342077683094605614607324"}
MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_3" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_8058966843345905398831763
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
[ "Al" ]
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2023-12-01T17:52:38
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2023
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al33
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MD_1213582242930949697188121
2024-08-16T15:39:50
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PO_1801326250099294966780418
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_interstitials_FCC2_10" ]
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2023-12-01T22:52:29
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CO_5167594272100726195683063
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
Al
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MD_1213582242930949697188121
2024-08-16T15:36:59
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PO_9464856744317107878987037
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_15" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_7382356982516547150798130
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
Al
A
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MD_1213582242930949697188121
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MD_8342077683094605614607324
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CO_7611326310965500058226215
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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Al
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MD_1213582242930949697188121
2024-08-16T15:06:55
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_9380104288141249085397561
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
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MD_1213582242930949697188121
2024-08-16T15:01:29
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PO_9867011378227252310004262
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MD_1092689733835166895275909
null
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2023-12-01T22:52:29
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CO_9448166518615547193168546
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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MD_1213582242930949697188121
2024-08-16T15:05:29
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PO_5624553216978889982823582
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MD_8167787933279587874418320
null
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2023-12-01T22:52:29
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CO_1178822816373071264806826
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al15
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MD_1213582242930949697188121
2024-08-16T14:37:05
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PO_5928723404674938800723027
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MD_1092689733835166895275909
null
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2023-12-01T22:52:29
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CO_1049700048264174560845624
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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2024-08-16T15:03:28
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CO_3746547936182679405838964
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:49:30
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MD_1092689733835166895275909
null
[ "Al_iter_all_Al_iter0_T240_2_mp-998860_elastic_18" ]
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2023-12-01T22:52:29
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CO_2724362441789383607550199
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:14:14
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter1_0_mp-134_elastic_B222_dist03_1_1" ]
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2023-12-01T22:52:29
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CO_1021441431795884088554475
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:19:48
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_16" ]
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2023-12-01T22:52:29
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CO_4331885299549395376943643
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T14:33:43
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MD_8167787933279587874418320
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2023-12-01T22:52:29
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CO_1197664284905648072106936
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:24:36
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PO_3846649908490703063815486
{"materials-project-id": "mp-134", "hash": "930011929653973582180846073299680827437022025687644079123128187039650194767557092970609420019523229875568620757991932789349995522096392043901851193061019", "id": "MD_9300119296539735821808460"}
MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_0" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_8187946422573992433785190
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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2023
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
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MD_1213582242930949697188121
2024-08-16T15:13:19
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2023-12-01T22:52:29
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CO_6717868230223505959923148
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:32:06
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2023-12-01T22:52:29
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CO_3591032040780345941090374
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:22:09
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_1175749273512383333232770
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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2024-08-16T14:33:26
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2023-12-01T22:52:29
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CO_5348162450719970582051134
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:46:24
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2023-12-01T22:52:29
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CO_5560965522649808660036668
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_9678404576247223287839381
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:35:54
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PO_9222655314053972289819007
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter1_1_mp-1183144_elastic_B222_dist03_0_6" ]
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2023-12-01T22:52:29
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CO_5781280935530221615670191
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:23:04
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter1_0_mp-134_elastic_B222_dist03_4_1" ]
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2023-12-01T22:52:29
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CO_1290381399774913356560302
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
A
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MD_1213582242930949697188121
2024-08-16T15:23:52
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MD_1092689733835166895275909
null
[ "Al_iter_all_Al_iter0_T240_2_mp-998860_elastic_17" ]
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2023-12-01T22:52:29
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CO_1141876976589790009011821
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:37:49
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_3" ]
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2023-12-01T22:52:29
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CO_1312577761023218533111335
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2024-08-16T15:06:20
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2023-12-01T22:52:29
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CO_1726382891043808849846363
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:20:10
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PO_1310244785661764792735989
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_4683389687270261303767151
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:36:59
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PO_7539069779554387633340848
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T960_1_mp-1183144_elastic_4", "Al_iter_all_Al_iter0_T960_1_mp-1183144_elastic_13" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_2568581412874234495345012
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
Al
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MD_1213582242930949697188121
2024-08-16T14:29:28
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PO_6810356284826792531370969
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T960_1_mp-1183144_elastic_12" ]
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2023-12-01T22:52:29
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CO_3686584721589952293404297
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:42:21
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PO_1297088721627716943810219
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_vacancies_5" ]
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2023-12-01T22:52:29
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CO_8281717386099724823307068
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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GPL-3.0-only
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T14:12:42
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PO_2710187616849241713566127
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_18" ]
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2023-12-01T22:52:29
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CO_1336745470489631085468892
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al33
Al
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MD_1213582242930949697188121
2024-08-16T14:48:03
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_interstitials_FCC2_14" ]
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2023-12-01T22:52:29
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CO_2035252078212298322018289
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:34:22
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PO_6459454931501794375530496
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T960_0_mp-134_elastic_1", "Al_iter_all_Al_iter0_T960_0_mp-134_elastic_16" ]
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2023-12-01T22:52:29
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CO_1054218450947763562821340
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
A
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MD_1213582242930949697188121
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MD_1092689733835166895275909
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CO_6571577522478651917570281
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:27:09
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PO_9450181554093730393953992
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MD_1092689733835166895275909
null
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2023-12-01T22:52:29
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CO_9980821869391510162670688
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:26:26
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MD_8342077683094605614607324
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2023-12-01T22:52:29
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CO_6273044274612054758320996
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T15:41:37
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T960_0_mp-134_interstitials_FCC2_db100_9" ]
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2023-12-01T22:52:29
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CO_8821312512813907895145790
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:02:46
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MD_8167787933279587874418320
null
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2023-12-01T22:52:29
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CO_4861270231542876365359980
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:45:08
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MD_8167787933279587874418320
null
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2023-12-01T22:52:29
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CO_1098564783531179531157642
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al7
Al
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MD_1213582242930949697188121
2024-08-16T14:20:03
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PO_3610871861266610565976733
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CO_1924577535012973385943064
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
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[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:40:58
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_2032231014656855401776438
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T22:52:29
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CO_2805919823077443449173122
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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2023
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
Al
A
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DFT-PBE
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{"input": {"ALGO": "fast", "EDIFF": "1E-8", "ENCUT": "400", "IBRION": "0", "ICHARG": "0", "ISIF": "2", "ISMEAR": "1", "ISTART": "0", "ISYM": "0", "KBLOCK": "10", "KGAMMA": "F", "KPAR": "16", "KSPACING": "0.24", "LCHARG": "T", "LREAL": "F", "LWAVE": "F", "MAXMIX": "50", "NBLOCK": "1", "NELM": "200", "NELMIN": "4", "NPAR": "8", "POTIM": "2", "PREC": "A", "PSTRESS": "0", "SIGMA": "0.15", "SMASS": "-1", "file-type": "INCAR"}, "hash": "12135822429309496971881212100548754870478961791137930949625877367285087883313386750731592539663054471050405358418449513543996992751906584969573924479043013", "id": "MD_1213582242930949697188121"}
MD_1213582242930949697188121
2024-08-16T15:08:06
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PO_1242252256837591670729430
{"materials-project-id": "mp-1183144", "hash": "8167787933279587874418320951248853394529876322379631497014846963005580728043288190655402346311637680323071163455556661885593388103969124639969091566467938", "id": "MD_8167787933279587874418320"}
MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_17" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_2431272675527807616568152
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
[ "Al" ]
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2023-12-01T17:52:38
[ [ 1, 1, 1 ] ]
[ 3 ]
2023
[ 1 ]
GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
Al
A
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[ "Al" ]
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MD_1213582242930949697188121
2024-08-16T15:42:26
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2023-12-01T22:52:29
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CO_7340067079760333734211334
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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MD_1213582242930949697188121
2024-08-16T14:45:40
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PO_1272953549442084735731528
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MD_9300119296539735821808460
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[ "Al_iter_all_Al_iter0_T960_0_mp-134_elastic_3", "Al_iter_all_Al_iter0_T960_0_mp-134_elastic_8" ]
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2023-12-01T22:52:29
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CO_4985043818051714735734504
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T15:23:47
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_1257089698397955994904395
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T15:12:27
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2023-12-01T22:52:29
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CO_7075538976661175933135219
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
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MD_1213582242930949697188121
2024-08-16T15:27:56
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PO_3399489084973637112207299
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_19" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_1517550106794766544479891
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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2023
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
Al
A
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MD_1213582242930949697188121
2024-08-16T15:07:02
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PO_9050042191788654880581493
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_6", "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_15" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_5838041172095940381216985
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
[ "Al" ]
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2023-12-01T17:52:38
[ [ 1, 1, 1 ] ]
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2023
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
Al
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MD_1213582242930949697188121
2024-08-16T14:55:35
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PO_9937793769224197207708485
{"materials-project-id": "mp-1239196", "hash": "8342077683094605614607324857260170669140498379261154861648293746153348359965509525658547092727097566869581532283708695391511341702084057581224555682625117", "id": "MD_8342077683094605614607324"}
MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_12" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_1195361476737017581853189
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
Al
A
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1
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MD_1213582242930949697188121
2024-08-16T14:43:28
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MD_8167787933279587874418320
null
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2023-12-01T22:52:29
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CO_9379971047278914983022720
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:32:12
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_1923735853426073447200206
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al33
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2024-08-16T14:50:22
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null
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2023-12-01T22:52:29
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23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:33:28
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2023-12-01T22:52:29
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CO_1195750402055998831242190
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:34:30
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MD_1092689733835166895275909
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[ "Al_iter_all_Al_iter1_2_mp-998860_elastic_B222_dist03_0_4" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_3472194831064730524715594
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:34:59
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MD_1092689733835166895275909
null
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2023-12-01T22:52:29
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CO_1191317017511776047529400
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:43:51
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MD_9300119296539735821808460
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2023-12-01T22:52:29
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CO_6316610180956769292117937
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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2024-08-16T14:18:12
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null
[ "Al_iter_all_Al_iter1_0_mp-134_elastic_B222_dist03_4_6" ]
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2023-12-01T22:52:29
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CO_1192483335526950843922906
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T15:41:43
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2023-12-01T22:52:29
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CO_9016948239598980657935078
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_1082222082673816309813316
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
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MD_1213582242930949697188121
2024-08-16T15:06:37
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MD_1092689733835166895275909
null
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2023-12-01T22:52:29
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CO_1191565647197976173711404
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:26:07
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MD_8342077683094605614607324
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[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_9" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_7467197850282880642319491
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
A
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MD_1213582242930949697188121
2024-08-16T15:16:27
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PO_6108710142032645979874118
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MD_1092689733835166895275909
null
[ "Al_iter_all_Al_iter1_2_mp-998860_elastic_B222_dist03_5_0" ]
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2023-12-01T22:52:29
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CO_8844630844564563249730526
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al64
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MD_1213582242930949697188121
2024-08-16T15:08:34
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PO_2946240531611640968800959
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_0" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_2414042286186592258198344
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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2023
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:22:52
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PO_3563129399757970786173425
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter1_1_mp-1183144_elastic_B222_dist03_1_7" ]
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2023-12-01T22:52:29
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CO_7824259468487246272626173
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T14:55:55
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_3" ]
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2023-12-01T22:52:29
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CO_1225687460665203133858796
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:48:42
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2023-12-01T22:52:29
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23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:00:02
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_1148923838534058771086570
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:27:31
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PO_4368874623911026935405859
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter1_8_mp-1239196_elastic_B222_dist03_10_5" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_1118620624058615932563481
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
10.60732/ef6f5966
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T15:07:21
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PO_1128042595205600797180610
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_2" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_5184739868762378827051447
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:09:36
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PO_1054516352919139371420520
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_17" ]
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2023-12-01T22:52:29
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CO_1304249789840845999852741
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al7
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MD_1213582242930949697188121
2024-08-16T15:34:21
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PO_1231697133304592442691543
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MD_8342077683094605614607324
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[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_vacancies_3" ]
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2023-12-01T22:52:29
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CO_1323272821937751954675184
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:01:43
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PO_1118734923356040709209627
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MD_8342077683094605614607324
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[ "Al_iter_all_Al_iter1_8_mp-1239196_elastic_B222_dist03_4_0" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_8554012415391536135146679
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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2024-08-16T15:35:07
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MD_9300119296539735821808460
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2023-12-01T22:52:29
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CO_9302810206130970320223776
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:52:56
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2023-12-01T22:52:29
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CO_1166902541446784205500868
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:22:42
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_1220874814306119016398850
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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2024-08-16T14:30:27
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2023-12-01T22:52:29
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CO_8713052216508371197987257
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T14:42:59
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null
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2023-12-01T22:52:29
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CO_1001798379428784750624470
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:17:08
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_3976257261268202860319520
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2024-08-16T14:46:27
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2023-12-01T22:52:29
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23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:51:39
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2023-12-01T22:52:29
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CO_2177050146175405520158860
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2024-08-16T15:36:52
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[ "Al_iter_all_Al_iter0_T960_1_mp-1183144_elastic_17" ]
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2023-12-01T22:52:29
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CO_6757725340050233893045601
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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MD_1213582242930949697188121
2024-08-16T15:27:34
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MD_8342077683094605614607324
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[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_elastic_8" ]
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2023-12-01T22:52:29
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CO_1153758570358482503374776
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:32:16
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PO_8104404676151691125632016
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2023-12-01T22:52:29
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CO_9803223020726267068354038
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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MD_1213582242930949697188121
2024-08-16T14:18:52
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MD_8167787933279587874418320
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[ "Al_iter_all_Al_iter0_T240_1_mp-1183144_elastic_11" ]
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2023-12-01T22:52:29
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CO_6358977936962649589597874
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al32
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MD_1213582242930949697188121
2024-08-16T14:44:06
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MD_9300119296539735821808460
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2023-12-01T22:52:29
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CO_1319530035933068150091457
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:24:38
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null
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2023-12-01T22:52:29
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CO_1279301631819067197984519
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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MD_1213582242930949697188121
2024-08-16T15:11:29
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2023-12-01T22:52:29
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CO_5910307443716950527313028
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al7
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MD_1213582242930949697188121
2024-08-16T14:50:27
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MD_8342077683094605614607324
null
[ "Al_iter_all_Al_iter0_T960_8_mp-1239196_vacancies_12" ]
[ "DS_8y775we7um7w_0" ]
2023-12-01T22:52:29
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CO_5482068745896415781882173
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:03:52
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PO_5510581675315485056006083
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MD_9300119296539735821808460
null
[ "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_9", "Al_iter_all_Al_iter0_T240_0_mp-134_elastic_14" ]
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2023-12-01T22:52:29
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CO_1130113560467092280277437
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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2023-12-01T17:52:38
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:52:06
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MD_8167787933279587874418320
null
[ "Al_iter_all_Al_iter0_T960_1_mp-1183144_elastic_12" ]
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2023-12-01T22:52:29
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CO_4020456314167726977722666
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:25:52
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MD_1092689733835166895275909
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2023-12-01T22:52:29
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CO_5652364259829217811117288
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:17:20
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MD_9300119296539735821808460
null
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2023-12-01T22:52:29
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CO_7989732161416162541757924
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T14:45:33
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2023-12-01T22:52:29
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23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
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MD_1213582242930949697188121
2024-08-16T15:42:39
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MD_1092689733835166895275909
null
[ "Al_iter_all_Al_iter1_2_mp-998860_elastic_B222_dist03_0_0" ]
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2023-12-01T22:52:29
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CO_7987121707500767962562212
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0
Al16
Al
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MD_1213582242930949697188121
2024-08-16T14:41:29
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PO_9547437030673914512384799
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MD_1092689733835166895275909
null
[ "Al_iter_all_Al_iter0_T960_2_mp-998860_elastic_4" ]
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2023-12-01T22:52:29
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CO_3864751608193166297381427
23-Single-Element-DNPs_RSCDD_2023-Al
[ "Christopher M. Andolina", "Wissam A. Saidi" ]
Configurations of Al from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
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GPL-3.0-only
{'source-publication': 'https://doi.org/10.1039/D3DD00046J', 'source-data': 'https://github.com/saidigroup/23-Single-Element-DNPs', 'other': None}
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DS_8y775we7um7w_0
23-Single-Element-DNPs_RSCDD_2023-Al__Andolina-Saidi__DS_8y775we7um7w_0