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2024-08-16T14:16:25
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MD_5085563091843178930982360
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CGM-MLP_natcomm2023_screening_graphite_train
[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
40 graphite structures with different lattice constants ranging from 2.0 to 3.2 Å, with a 0.03 Å increment. This dataset was one of the datasets used in testing screening parameters during the process of producing an active learning dataset for Cu-C interactions for the purposes of exploring substrate-catalyzed deposition as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu(111) surface.
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CGM-MLP_natcomm2023_screening_graphite_train
[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
40 graphite structures with different lattice constants ranging from 2.0 to 3.2 Å, with a 0.03 Å increment. This dataset was one of the datasets used in testing screening parameters during the process of producing an active learning dataset for Cu-C interactions for the purposes of exploring substrate-catalyzed deposition as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu(111) surface.
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[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
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[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
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[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
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[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
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MD_5085563091843178930982360
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[ "Graphite_Training_Set_9" ]
[ "DS_jasbxoigo7r4_0" ]
2024-01-11T22:51:36
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CGM-MLP_natcomm2023_screening_graphite_train
[ "Di Zhang", "Peiyun Yi", "Xinmin Lai", "Linfa Peng", "Hao Li" ]
40 graphite structures with different lattice constants ranging from 2.0 to 3.2 Å, with a 0.03 Å increment. This dataset was one of the datasets used in testing screening parameters during the process of producing an active learning dataset for Cu-C interactions for the purposes of exploring substrate-catalyzed deposition as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu(111) surface.
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2024
[ 1 ]
MIT
{'source-publication': 'https://doi.org/10.1038/s41467-023-44525-z', 'source-data': 'https://github.com/sjtudizhang/CGM-MLP', 'other': None}
10.60732/85590078
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DS_jasbxoigo7r4_0
CGM-MLP_natcomm2023_screening_graphite_train__Zhang-Yi-Lai-Peng-Li__DS_jasbxoigo7r4_0
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Dataset

CGM-MLP natcomm2023 screening graphite train

Description

40 graphite structures with different lattice constants ranging from 2.0 to 3.2 Å, with a 0.03 Å increment. This dataset was one of the datasets used in testing screening parameters during the process of producing an active learning dataset for Cu-C interactions for the purposes of exploring substrate-catalyzed deposition as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu(111) surface.

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

Dataset authors

Di Zhang, Peiyun Yi, Xinmin Lai, Linfa Peng, Hao Li

Publication

https://doi.org/10.1038/s41467-023-44525-z

Original data link

https://github.com/sjtudizhang/CGM-MLP

License

MIT

Number of unique molecular configurations

41

Number of atoms

1968

Elements included

C

Properties included

energy, atomic forces, cauchy stress

Cite this dataset

Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. CGM-MLP natcomm2023 screening graphite train. ColabFit, 2024. https://doi.org/10.60732/85590078

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