Dataset

HO_LiMoNiTi_NPJCM_2020_LiMoNiTi_train


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Name :
HO_LiMoNiTi_NPJCM_2020_LiMoNiTi_train
Extended ID :
HO_LiMoNiTi_NPJCM_2020_LiMoNiTi_train__Cooper-Kastner-Urban-Artrith__DS_1i4q8uyams32_0
ColabFit ID :
DS_1i4q8uyams32_0
Files :
colabfitspec.json
Description :
Training configurations of Li8Mo2Ni7Ti7O32 from HO_LiMoNiTi_NPJCM_2020 used in the training of an ANN, whereby total energy is extrapolated by a Taylor expansion as a means of reducing computational costs.
Authors :
April M. Cooper, Johannes Kästner, Alexander Urban, Nongnuch Artrith
DOI :
10.60732/1c1bf708 https://commons.datacite.org/doi.org/10.60732/1c1bf708 https://doi.datacite.org/dois/10.60732%2F1c1bf708 https://doi.org/10.60732/1c1bf708 Cite as: Cooper, A. M., Kästner, J., Urban, A., and Artrith, N. "HO LiMoNiTi NPJCM 2020 LiMoNiTi train." ColabFit, 2023. https://doi.org/10.60732/1c1bf708.
For other citation formats, see the DataCite Fabrica page for this dataset.
Num. Configurations :
824
Num. Atoms :
46,144
Downloads :
16
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
Li (14.29%) Mo (3.57%) Ni (12.5%) O (57.14%) Ti (12.5%)
Methods :
DFT-SCAN
Software :
VASP
Publication Link :
https://doi.org/10.1038/s41524-020-0323-8
Data Source Link :
https://doi.org/10.24435/materialscloud:2020.0037/v1
Configuration Sets by Name :
Configuration Sets by ID :
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