most citedCombining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials

26 citations · 27 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2025

Device-Scale Atomistic Simulations of Heat Transport in Advanced Field-Effect Transistors

Ke Xu, Gang Wang, Ting Liang +8

Self-heating in next-generation, high-power-density field-effect transistor limits performance and complicates fabrication. Here, we introduce NEP-FET, a machine-learned framework…

cond-mat.mtrl-sci2023★ 26 cited

Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials

Zheyong Fan, Yang Xiao, Yanzhou Wang +3

We propose an efficient approach for simultaneous prediction of thermal and electronic transport properties in complex materials. Firstly, a highly efficient machine-learned neuroe…