most citedThermal Conductivity Modeling using Machine Learning Potentials: Application to Crystalline and Amorphous Silicon

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2019★ 2 cited

Thermal Conductivity Modeling using Machine Learning Potentials: Application to Crystalline and Amorphous Silicon

Xin Qian, Shenyou Peng, Xiaobo Li +2

First-principles based modeling on phonon dynamics and transport using density functional theory and Boltzmann transport equation has proven powerful in predicting thermal conducti…