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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" ]
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[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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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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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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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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[ "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" ]
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MD_9985399391223336507104240
2024-08-16T15:15:26
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CO_1021746319401966777253796
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_1022585641151822347299615
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_1025217211319226516808415
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
2024-08-16T14:13:12
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CO_1026132111894449749474185
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_1026573192270604756998677
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[ "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
2024-08-16T14:57:49
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CO_1026751283572046453495121
Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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2024-08-16T15:14:51
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CO_1028054982504067879190387
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
2024-08-16T14:55:30
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CO_1029633995420557737365572
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
2024-08-16T15:26:10
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CO_1030313657826960911345329
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
2024-08-16T15:17:11
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PO_7752024593112856383777835
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[ "deepmd_set.000_691" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_1031199389677820517234584
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
2024-08-16T15:22:41
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CO_1034771269523418085450055
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
2024-08-16T15:21:45
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CO_1034863019516714539554666
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
2024-08-16T14:12:34
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CO_1035854247549517546819884
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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2024-08-16T14:53:59
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
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CO_1035957562653468164832977
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" ]
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[ "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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CO_1037884021548093309568331
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_1037947198631031689995903
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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2024-08-16T14:31:46
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CO_1039366013428046305532795
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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2024-08-16T14:13:36
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CO_1039434308411019484457381
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
2024-08-16T15:23:27
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CO_1040299938265075638979944
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" ]
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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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Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
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MD_9985399391223336507104240
2024-08-16T14:31:48
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[ "DS_6e5ljaqa3cfr_0" ]
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CO_1040350326198288163445743
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
2024-08-16T14:13:31
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CO_1040357625785279389117029
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
2024-08-16T15:25:15
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:20
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CO_1041198391405560287152712
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
Ag6
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MD_9985399391223336507104240
2024-08-16T15:25:15
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:20
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CO_1041198391405560287152712
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_1041960844146175278957096
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_1042387908479237760589168
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_1042580812313529457870078
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_1043047259296906027381989
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
2024-08-16T14:58:56
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CO_1043303626022248670568321
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_1043729389217858193265149
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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Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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2024-08-16T14:35:32
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CO_1044473350797456868541372
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
2024-08-16T15:17:38
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:20
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CO_1045508519708964740414207
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
2024-08-16T15:19:28
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
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CO_1045562277744631029185231
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
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Ag16
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MD_9985399391223336507104240
2024-08-16T15:30:41
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[ "data.012_set.000_22" ]
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2023-12-01T23:16:19
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CO_1045690528934824060110309
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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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag32
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A
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CO_1045938460685336719903499
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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CO_1046912815567864486258784
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_1047165013001336100598071
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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2024-08-16T15:24:04
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CO_1048698558459101735984437
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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2024-08-16T15:10:54
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2023-12-01T23:16:21
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CO_1048762383485678205935810
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" ]
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LGPL-3.0-only
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DS_6e5ljaqa3cfr_0
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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
2024-08-16T14:59:32
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CO_1048910313128356291025820
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_1049364605892462321681911
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
2024-08-16T14:55:17
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2023-12-01T23:16:19
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CO_1050510261706753757483381
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
2024-08-16T14:37:06
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:22
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CO_1050610479091484455750024
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
2024-08-16T15:17:05
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CO_1051771757304602611193051
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
2024-08-16T14:30:22
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CO_1052560767276018121478025
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
2024-08-16T15:21:06
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CO_1053519730834231280722666
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__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
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MD_9985399391223336507104240
2024-08-16T14:12:04
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:19
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CO_1053806597172510595501224
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" ]
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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
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CO_1053890209676500205213520
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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2024-08-16T15:20:20
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CO_1054044305920397184716523
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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2024-08-16T15:20:52
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CO_1054771144814491442662073
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
2024-08-16T15:24:05
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CO_1055790608281354913408487
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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Ag16
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MD_9985399391223336507104240
2024-08-16T14:16:33
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[ "DS_6e5ljaqa3cfr_0" ]
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CO_1056195648990655386782489
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
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MD_9985399391223336507104240
2024-08-16T14:30:53
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PO_5905159159005322326655201
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[ "deepmd_set.000_373" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_1057738479385541831557573
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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Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
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MD_9985399391223336507104240
2024-08-16T14:14:15
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[ "deepmd_set.000_421" ]
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2023-12-01T23:15:44
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CO_1058275416006403182995055
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_1059811950524238960171600
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
2024-08-16T14:14:35
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CO_1060861241725444314857526
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
2024-08-16T15:24:10
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CO_1061128324535534695608230
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
2024-08-16T15:06:20
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[ "deepmd_set.000_364" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:21
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CO_1062144867532067471452530
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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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
Ag6
Ag
A
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VASP
DFT-PBE-D3
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MD_9985399391223336507104240
2024-08-16T14:35:22
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PO_4375286651184638202284056
null
null
null
[ "data.038_set.000_48" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:21
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CO_1062547476366760730691477
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
0
2023-12-01T18:16:05
[ [ 1, 1, 1 ] ]
[ 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