Rapid and accurate identification of structural and electronic properties of Xenes under different strains via a first-principles machine-learning approach for energy-electronic devices
Guoqing Wang, Rongchao Liu, Gebrehiwot Gebreslassie, Halefom G. Desta, Dong Tian, Bin Lin
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