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 |
| 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 | |
| ColabFit ID | DS_0gyf3srv7xh7_0 |
| Downloads | 20 |
| Files | colabfitspec.json |
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