colabfit/SAIT_semiconductors_ACS_2023_SiN_validation
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 SiN validation. ColabFit, 2024. https://doi.org/10.60732/1eaf36bf 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_5piytwom0j25_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_SiN_validation.
<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 SiN validation. ColabFit, 2024. https://doi.org/10.60732/1eaf36bf</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/DS5piytwom0j250
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Dataset Name
SAIT semiconductors ACS 2023 SiN validation
Description
Validation configurations from the SAITsemiconductorsACS2023SiN dataset. This dataset contains SiN, Si and N 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
2822
Number of atoms
159951
Elements included
N, Si
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. Ifcs/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>