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Ag16
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MD_9985399391223336507104240
2024-08-16T14:32:14
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2023-12-01T23:16:21
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CO_1001144220490011643827726
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T15:12:33
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2023-12-01T23:15:44
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CO_1001512667569308789839631
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
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MD_9985399391223336507104240
2024-08-16T15:16:49
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CO_1001793898920720764924393
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
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CO_1002051950101792478905085
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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CO_1002406220114735904686267
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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CO_1002443366394075103013947
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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CO_1005415938087422157891220
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
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CO_1006552339544608710981613
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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DS_6e5ljaqa3cfr_0
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CO_1006612926503996994508488
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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CO_1006800561866449283566336
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
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CO_1006904467457927870325886
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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CO_1007108495890309392361588
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T15:20:33
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CO_1007606336616615014151272
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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2024-08-16T15:13:38
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CO_1007782410819048258936395
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T15:19:10
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2023-12-01T23:16:22
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CO_1008824146210361872083644
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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MD_9985399391223336507104240
2024-08-16T15:09:01
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CO_1008920669175509005478958
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T14:50:27
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CO_1008979556262403121756972
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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DS_6e5ljaqa3cfr_0
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MD_9985399391223336507104240
2024-08-16T14:31:55
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2023-12-01T23:15:44
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CO_1009241673346208578842143
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
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MD_9985399391223336507104240
2024-08-16T15:09:41
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CO_1010489519816410072779778
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
[ "Ag" ]
1
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[ 1 ]
LGPL-3.0-only
{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag32
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MD_9985399391223336507104240
2024-08-16T14:34:59
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CO_1010606545576143646985439
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T14:12:18
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CO_1011861713845162675238978
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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MD_9985399391223336507104240
2024-08-16T14:12:36
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2023-12-01T23:16:20
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CO_1012516552801981585930732
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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LGPL-3.0-only
{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
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MD_9985399391223336507104240
2024-08-16T14:57:52
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CO_1013576684915105570955515
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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2024-08-16T14:42:54
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2023-12-01T23:16:20
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CO_1014427753182305034909327
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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2024-08-16T14:26:40
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CO_1014802030329142524767587
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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CO_1014901986625511522953474
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
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2023-12-01T18:16:05
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[ 3 ]
2023
[ 1 ]
LGPL-3.0-only
{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
10.60732/93adbc95
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
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A
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MD_9985399391223336507104240
2024-08-16T15:25:40
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[ "deepmd_set.000_722" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:22
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CO_1015832766218761247582812
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.
[ "Ag" ]
1
7,607
7,608
152,318
0
7,607
0
7,607
0
7,607
-45.522778
602.974047
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2023-12-01T18:16:05
[ [ 1, 1, 1 ] ]
[ 3 ]
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[ 1 ]
LGPL-3.0-only
{'source-publication': 'https://doi.org/10.48550/arXiv.2108.06232', 'source-data': 'https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE', 'other': None}
10.60732/93adbc95
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
End of preview. Expand in Data Studio

Dataset

Ag-PBE MSMSE 2021

Description

Approximately 7,600 configurations of Ag used as part of a training dataset for a DP-GEN-based ML model for a Ag-Au nanoalloy potential.

Additional details stored in dataset columns prepended with "dataset_".

Dataset authors

Yinan Wang, Xiaoyang Wang, Linfeng Zhang, Ben Xu, Han Wang

Publication

https://doi.org/10.48550/arXiv.2108.06232

Original data link

https://www.aissquare.com/datasets/detail?pageType=datasets&name=Ag-PBE

License

Lgpl-3.0

Number of unique molecular configurations

7608

Number of atoms

152318

Elements included

Ag

Properties included

energy, atomic forces, cauchy stress

Cite this dataset

Wang, Y., Wang, X., Zhang, L., Xu, B., and Wang, H. Ag-PBE MSMSE 2021. ColabFit, 2023. https://doi.org/10.60732/93adbc95

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