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Extended ID NVNMD_GeTe_MoLiZhaoZhangShiLiLiu__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

Cite as: Mo, P., Li, C., Zhao, D., Zhang, Y., Shi, M., Li, J., and Liu, J. "NVNMD GeTe." ColabFit, 2023.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements Ge (50.0%)
Te (50.0%)
Number of Data Objects 5,025
Number of Configurations 5,025
Number of Atoms 321,600
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_0gyf3srv7xh7_0
Files colabfitspec.json

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