UNEP_v1_2023_test / README.md
gpwolfe's picture
Add UNEP_v1_2023_test files
ca2b102 verified
metadata
configs:
  - config_name: default
    data_files: co/*.parquet
  - config_name: info
    data_files: ds.parquet
license: cc-by-4.0
tags:
  - molecular dynamics
  - mlip
  - interatomic potential
pretty_name: UNEP v1 2023 test

Cite this dataset Song, K., Zhao, R., Liu, J., Wang, Y., Lindgren, E., Wang, Y., Chen, S., Xu, K., Liang, T., Ying, P., Xu, N., Zhao, Z., Shi, J., Wang, J., Lyu, S., Zeng, Z., Liang, S., Dong, H., Sun, L., Chen, Y., Zhang, Z., Guo, W., Qian, P., Sun, J., Erhart, P., Ala-Nissila, T., Su, Y., and Fan, Z. UNEP v1 2023 test. ColabFit, 2023. https://doi.org/10.60732/b459b5f2

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_jyklsju4h580_0

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

https://materials.colabfit.org


Dataset Name

UNEP v1 2023 test

Description

The test set for UNEP-v1 (version 1 of Unified NeuroEvolution Potential), a model implemented in GPUMD.

Dataset authors

Keke Song, Rui Zhao, Jiahui Liu, Yanzhou Wang, Eric Lindgren, Yong Wang, Shunda Chen, Ke Xu, Ting Liang, Penghua Ying, Nan Xu, Zhiqiang Zhao, Jiuyang Shi, Junjie Wang, Shuang Lyu, Zezhu Zeng, Shirong Liang, Haikuan Dong, Ligang Sun, Yue Chen, Zhuhua Zhang, Wanlin Guo, Ping Qian, Jian Sun, Paul Erhart, Tapio Ala-Nissila, Yanjing Su, Zheyong Fan

Publication

https://doi.org/10.1038/s41467-024-54554-x

Original data link

https://zenodo.org/doi/10.5281/zenodo.10081676

License

CC-BY-4.0

Number of unique molecular configurations

4411

Number of atoms

318910

Elements included

Ag, Al, Au, Cr, Cu, Mg, Mo, Ni, Pb, Pd, Pt, Ta, Ti, V, W, Zr

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: