Dataset

UNEP_v1_2023_train




Species content of dataset


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Name :
UNEP_v1_2023_train
ColabFit ID :
Description :
The training set for UNEP-v1 (version 1 of Unified NeuroEvolution Potential), a model implemented in GPUMD.
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
DOI :
10.60732/23c88dd7 https://commons.datacite.org/doi.org/10.60732/23c88dd7 https://doi.datacite.org/dois/10.60732%2F23c88dd7 https://doi.org/10.60732/23c88dd7 Cite as: 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 train." ColabFit, 2023. https://doi.org/10.60732/23c88dd7.
For other citation formats, see the DataCite Fabrica page for this dataset.
Num. Configurations :
104,799
Num. Atoms :
6,840,534
Downloads :
44
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
Ag (6.45%) Al (7.1%) Au (6.28%) Cr (5.99%) Cu (6.37%) Mg (5.9%) Mo (5.52%) Ni (6.11%) Pb (5.9%) Pd (6.16%) Pt (6.14%) Ta (6.2%) Ti (6.74%) V (6.06%) W (6.38%) Zr (6.71%)
Methods :
DFT-PBE
Software :
VASP
Configuration Sets by Name :
Configuration Sets by ID :

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