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Ag-PBE_MSMSE_2021
[ "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
2024-08-16T15:21:32
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CO_9311161661570861099025138
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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2024-08-16T15:35:58
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CO_9320605069309148055543122
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
2024-08-16T14:31:36
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CO_9328721925829973244280434
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
2024-08-16T14:53:44
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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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2024-08-16T14:53:30
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CO_9344042203335876987731379
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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2024-08-16T15:40:22
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CO_9344925729272807361245066
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
2024-08-16T15:34:56
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CO_9360010259238991775565539
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
2024-08-16T14:35:38
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2023-12-01T23:15:44
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CO_9372959562835932600093089
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
2024-08-16T14:51:29
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[ "deepmd_set.000_716" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:22
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CO_9376180704699633760224284
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
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Ag16
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MD_9985399391223336507104240
2024-08-16T15:38:22
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[ "deepmd_set.000_785" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:20
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CO_9378031974624950985905282
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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2023-12-01T18:16:05
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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
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MD_9985399391223336507104240
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CO_9378734834085496625968539
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_9385631735142910282153877
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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2024-08-16T15:10:41
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CO_9387672624317126621036316
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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2024-08-16T15:02:55
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CO_9389135162135268077289657
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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DS_6e5ljaqa3cfr_0
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Ag16
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MD_9985399391223336507104240
2024-08-16T14:39:21
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PO_1631701302802625411798598
null
null
null
[ "deepmd_set.000_307" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:21
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CO_9396232052497626441640496
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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2023-12-01T18:16:05
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2023
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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
Ag16
Ag
A
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MD_9985399391223336507104240
2024-08-16T14:32:36
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PO_5316430655255389867683722
null
null
null
[ "deepmd_set.000_585" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9396890635787856367918156
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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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}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
Ag
A
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VASP
DFT-PBE-D3
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MD_9985399391223336507104240
2024-08-16T14:44:18
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PO_5547518706444071651701196
null
null
null
[ "deepmd_set.000_314" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9400137987157619110545435
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
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602.974047
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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
Ag32
Ag
A
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MD_9985399391223336507104240
2024-08-16T15:26:06
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CO_9400209213589373429164775
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
2024-08-16T15:38:46
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CO_9418278025371632893528453
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
2024-08-16T14:51:46
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CO_9425166150744739365021271
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
2024-08-16T14:33:35
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CO_9429764645060949385515882
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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[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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MD_9985399391223336507104240
2024-08-16T15:41:15
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CO_9439143377738928164598614
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_9442665432525868110363226
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
2024-08-16T15:06:42
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CO_9503306207831277722259291
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
2024-08-16T15:38:41
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CO_9521634903104190805059418
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
2024-08-16T14:35:40
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
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CO_9524427686059376768573174
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
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A
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MD_9985399391223336507104240
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CO_9525212514577447000390086
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
2024-08-16T15:14:38
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CO_9526310352502236766519782
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
2024-08-16T15:17:21
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CO_9527413984477382085692835
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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{'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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2024-08-16T15:24:46
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CO_9557164007844349851777323
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
2024-08-16T15:37:29
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CO_9558120416041241562064142
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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2024-08-16T14:47:47
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CO_9558644649252070498361853
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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2024-08-16T14:35:09
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CO_9567426852091248885993213
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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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
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MD_9985399391223336507104240
2024-08-16T14:47:52
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[ "deepmd_set.000_122" ]
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CO_9570067345809301975456776
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
Ag
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MD_9985399391223336507104240
2024-08-16T14:31:49
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null
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CO_9575485368498619754376891
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
Ag32
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MD_9985399391223336507104240
2024-08-16T15:38:10
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[ "deepmd_set.000_248" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:20
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CO_9584630899349762071467299
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
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CO_9585126297202189157873344
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
2024-08-16T15:12:58
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CO_9587336727132278833994281
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
2024-08-16T15:12:22
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CO_9601759958514501058307284
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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[ 1 ]
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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
2024-08-16T14:34:23
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2023-12-01T23:15:44
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CO_9605769169505611487657021
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_9625817552421528277954682
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_9634982395563381201214187
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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2024-08-16T15:38:33
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CO_9664206713013468015091798
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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Ag-PBE_MSMSE_2021
[ "Yinan Wang", "Xiaoyang Wang", "Linfeng Zhang", "Ben Xu", "Han Wang" ]
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MD_9985399391223336507104240
2024-08-16T15:25:16
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CO_9675703739225499684213147
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_9679282575342126944232975
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
2024-08-16T15:11:01
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PO_2020713588487027114411005
null
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[ "deepmd_set.000_795" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9690975631618405498252575
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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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}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
Ag
A
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DFT-PBE-D3
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MD_9985399391223336507104240
2024-08-16T15:35:44
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PO_3728405596257375535311682
null
null
null
[ "deepmd_set.000_894" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9702081269019707114919529
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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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}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
Ag
A
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1
VASP
DFT-PBE-D3
null
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MD_9985399391223336507104240
2024-08-16T15:16:22
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PO_2406411201234212510236873
null
null
null
[ "deepmd_set.000_610" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9712239738713740867090611
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
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0
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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
Ag16
Ag
A
[ 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47 ]
[ "Ag" ]
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1
16
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VASP
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CO_9717101965288931344763438
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_9719285232699794760006560
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_9721001484294695846854300
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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2024-08-16T15:38:22
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CO_9725865590443866842452991
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
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MD_9985399391223336507104240
2024-08-16T14:48:25
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PO_4400142371677390505156347
null
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[ "deepmd_set.000_481" ]
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2023-12-01T23:15:44
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CO_9728923595505286697060563
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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MD_9985399391223336507104240
2024-08-16T15:39:04
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PO_2365835831187421674291838
null
null
null
[ "deepmd_set.000_813" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9729108943708605754938407
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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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
Ag
A
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[ "Ag" ]
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VASP
DFT-PBE-D3
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MD_9985399391223336507104240
2024-08-16T15:40:30
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PO_3171106635244925501763380
null
null
null
[ "deepmd_set.000_309" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9735265829821696076461398
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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0
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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}
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DS_6e5ljaqa3cfr_0
Ag-PBE_MSMSE_2021__Wang-Wang-Zhang-Xu-Wang__DS_6e5ljaqa3cfr_0
Ag16
Ag
A
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MD_9985399391223336507104240
2024-08-16T15:34:14
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CO_9753711676606692106797762
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
2024-08-16T14:38:55
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[ "deepmd_set.000_156" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9770895321103973815675020
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
2024-08-16T15:38:06
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2023-12-01T23:16:20
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CO_9779816129581819803513947
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
2024-08-16T14:51:29
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CO_9784229286667673508354822
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
2024-08-16T15:14:45
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CO_9786744500344678814946821
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
2024-08-16T15:06:26
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CO_9790916642212441568761904
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
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CO_9795053786250212655027193
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_9798180667925496476541893
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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2024-08-16T15:41:49
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CO_9799218897260410620760433
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_9813756201155903017071642
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
2024-08-16T15:41:22
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CO_9818762360841682472147714
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
2024-08-16T14:53:04
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CO_9823202603000213711013751
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
2024-08-16T15:12:56
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CO_9824315791146724816658794
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
2024-08-16T15:29:21
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CO_9829827639613171593774881
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
2024-08-16T15:32:12
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CO_9839583212544243912090395
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
2024-08-16T14:47:45
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2023-12-01T23:15:44
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CO_9841003246227004399377873
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
2024-08-16T14:30:55
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CO_9842036237466885965480331
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
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CO_9845923310297009550805942
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
2024-08-16T14:47:20
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CO_9850399194819834073009777
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
2024-08-16T15:13:27
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CO_9850565804750765701782711
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
2024-08-16T14:30:49
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CO_9856020779638539518727108
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
2024-08-16T14:50:17
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null
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CO_9858919929541743747742281
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
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MD_9985399391223336507104240
2024-08-16T15:18:49
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[ "data.004_set.000_19" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:19
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CO_9864024125038780449274896
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}
10.60732/93adbc95
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MD_9985399391223336507104240
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CO_9867441418337919347548631
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
2024-08-16T15:38:07
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CO_9877287058962463621493954
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
2024-08-16T14:49:03
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CO_9886051069482999677243771
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
2024-08-16T15:00:22
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CO_9887432956077851863866283
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
2024-08-16T15:40:16
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CO_9889702680038364303192240
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
2024-08-16T15:41:57
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[ "deepmd_set.000_183" ]
[ "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:15:44
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CO_9927627045501406755735434
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
2024-08-16T14:39:07
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null
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[ "deepmd_set.000_543" ]
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CO_9928700408881741596944272
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
Ag
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MD_9985399391223336507104240
2024-08-16T14:47:59
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null
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[ "data.000_set.000_36" ]
[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
2023-12-01T23:16:22
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CO_9938645252740024218616138
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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7,608
152,318
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2023-12-01T18:16:05
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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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MD_9985399391223336507104240
2024-08-16T15:35:34
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[ "DS_t0ec1irmeo59_0", "DS_6e5ljaqa3cfr_0" ]
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CO_9944330740883630421454750
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
2024-08-16T15:05:38
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CO_9949325578250335775868871
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
2024-08-16T15:24:52
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2023-12-01T23:15:44
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CO_9950216603603059923366848
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
2024-08-16T14:27:02
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CO_9950710053649076725314834
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
2024-08-16T14:28:26
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CO_9953165747157307520765314
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
2024-08-16T14:51:53
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2023-12-01T23:15:44
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CO_9967189185484725521883956
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
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Ag16
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2024-08-16T15:41:26
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2023-12-01T23:16:19
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CO_9997080965883553944377388
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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2023-12-01T18:16:05
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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