Dataset

NVNMD_GeTe



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Name NVNMD_GeTe
Extended ID NVNMD_GeTe__Mo-Li-Zhao-Zhang-Shi-Li-Liu__DS_0gyf3srv7xh7_0
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.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements Ge (50.0%)
Te (50.0%)
Number of Configurations 5,025
Number of Atoms 321,600
Links https://github.com/LiuGroupHNU/nvnmd
https://doi.org/10.1038/s41524-022-00773-z
https://doi.org/10.1109/LED.2020.2964779
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Calculated Properties
ColabFit ID DS_0gyf3srv7xh7_0
Files colabfitspec.json

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