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colabfit/SAIT_semiconductors_ACS_2023_HfO_train

Cite this dataset Kim, G., Na, B., Kim, G., Cho, H., Kang, S., Lee, H. S., Choi, S., Kim, H., Lee, S., and Kim, Y. SAIT semiconductors ACS 2023 HfO train. ColabFit, 2024. https://doi.org/10.60732/495b736b 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_ppk44zeithjj_0 Visit the ColabFit Exchange to search additional… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/SAIT_semiconductors_ACS_2023_HfO_train.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face
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<details><summary>Cite this dataset </summary>Kim, G., Na, B., Kim, G., Cho, H., Kang, S., Lee, H. S., Choi, S., Kim, H., Lee, S., and Kim, Y. SAIT semiconductors ACS 2023 HfO train. ColabFit, 2024. https://doi.org/10.60732/495b736b</details>

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/DSppk44zeithjj0

Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.

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Dataset Name

SAIT semiconductors ACS 2023 HfO train

Description

Training configurations from the SAITsemiconductorsACS2023HfO dataset. This dataset contains HfO configurations from the SAIT semiconductors datasets. SAIT semiconductors datasets comprise two rich datasets for the important semiconductor thin film materials silicon nitride (SiN) and hafnium oxide (HfO), gathered for the development of MLFFs. DFT simulations were conducted under various conditions that include differing initial structures, stoichiometry, temperature, strain, and defects.

Dataset authors

Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seung-Jin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim

Publication

https://openreview.net/forum?id=hr9Bd1A9Un

Original data link

https://github.com/SAITPublic/MLFF-Framework

License

CC-BY-4.0

Number of unique molecular configurations

27958

Number of atoms

2683968

Elements included

Hf, O

Properties included

energy, atomic forces, cauchy stress <br> <hr>

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). <br>
ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files: