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2025-04-16T17:10:51
DS_jasbxoigo7r4_0
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2025-04-16T17:03:14
DS_jasbxoigo7r4_0
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2025-04-16T20:58:52
DS_jasbxoigo7r4_0
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2025-04-17T18:37:27
DS_jasbxoigo7r4_0
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2025-04-16T18:03:02
DS_jasbxoigo7r4_0
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2025-04-17T18:37:27
DS_jasbxoigo7r4_0
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2025-04-16T21:43:16
DS_jasbxoigo7r4_0
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2025-04-16T20:03:41
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2025-04-16T20:53:37
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2025-04-16T21:28:46
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2025-04-16T18:44:30
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2025-04-16T18:56:42
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2025-04-16T20:15:53
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2025-04-16T18:25:21
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2025-04-16T18:42:12
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2025-04-16T16:57:14
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2025-04-16T18:52:13
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2025-04-16T16:32:54
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2025-04-16T21:23:51
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2025-04-16T20:26:39
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End of preview. Expand in Data Studio

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

This dataset has been curated and formatted for the ColabFit Exchange

This dataset is also available on the ColabFit Exchange:

https://materials.colabfit.org/id/DS_jasbxoigo7r4_0

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Dataset Name

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.

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


Usage

  • ds.parquet : Aggregated dataset information.
  • co/ directory: Configuration rows each include a structure, calculated properties, and metadata.
  • cs/ directory : Configuration sets are subsets of configurations grouped by some common characteristic. If cs/ does not exist, no configurations sets have been defined for this dataset.
  • cs_co_map/ directory : The mapping of configurations to configuration sets (if defined).

ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:

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