Dataset

NVNMD_GeTe


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Name :
NVNMD_GeTe
Extended ID :
NVNMD_GeTe__Mo-Li-Zhao-Zhang-Shi-Li-Liu__DS_0gyf3srv7xh7_0
ColabFit ID :
DS_0gyf3srv7xh7_0
Files :
colabfitspec.json
Description :
Approximately 5,000 configurations of GeTe used in training of a non-von Neumann multiplication-less DNN model.
Authors :
Pinghui Mo, Chang Li, Dan Zhao, Yujia Zhang, Mengchao Shi, Junhua Li, Jie Liu
DOI :
10.60732/c741fb0f https://commons.datacite.org/doi.org/10.60732/c741fb0f https://doi.datacite.org/dois/10.60732%2Fc741fb0f https://doi.org/10.60732/c741fb0f Cite as: Mo, P., Li, C., Zhao, D., Zhang, Y., Shi, M., Li, J., and Liu, J. "NVNMD GeTe." ColabFit, 2023. https://doi.org/10.60732/c741fb0f.
For other citation formats, see the DataCite Fabrica page for this dataset.
Num. Configurations :
5,025
Num. Atoms :
321,600
Downloads :
51
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
Ge (50.0%) Te (50.0%)
Methods :
DFT-GGA
Software :
SIESTA
Publication Link :
https://doi.org/10.1038/s41524-022-00773-z
Data Source Link :
https://github.com/LiuGroupHNU/nvnmd
Other Links :
https://doi.org/10.1109/LED.2020.2964779
Configuration Sets by Name :
Configuration Sets by ID :
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