activity
20242026
most citedMolecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials

104 citations · 133 across the 5 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026

Intrinsically low thermal conductivity of stoichiometric lithium niobate:Experimental measurement and microscopic origin

Wenjiang Zhou, Fuwei Yang, Yuxi Wang +4

With the rapid development of integrated electro-optic and nonlinear optical devices based on lithium niobate (LiNbO, LN), thermal management is becoming a critical area of foc…

cond-mat.str-el2026

Zero-Field Thermal Hall Effect in Insulator

Zhe Cui, Haoran Fan, Wenjiang Zhou +9

Fourier's law dictates that heat flow is usually parallel to the applied temperature gradient. However, under a high magnetic field, heat flow carried by both electrons in conducto…

cond-mat.mtrl-sci2025

Heat transport in superionic materials via machine-learned molecular dynamics

Wenjiang Zhou, Benrui Tang, Zheyong Fan +3

Precise modeling and understanding of heat transport in the superionic phase are of great interest. Although simulations combining Green-Kubo (GK) molecular dynamics with machine-l…

cond-mat.mtrl-sci2025

Ultrahigh interfacial thermal conductance for cooling gallium oxide electronics using cubic boron arsenide

Wenjiang Zhou, Nianjie Liang, Wei Xiao +3

Gallium oxide (GaO) has attracted significant interest for its unique potential especially in power electronics. However, its low and anisotropic thermal conductivity poses…

cond-mat.mtrl-sci202429 cited

Insight into the effect of force error on the thermal conductivity from machine-learned potentials

Wenjiang Zhou, Nianjie Liang, Xiguang Wu +3

Machine-learned potentials (MLPs) have been extensively used to obtain the lattice thermal conductivity via atomistic simulations. However, the impact of force errors in various ML…

cond-mat.mtrl-sci2024

Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

Penghua Ying, Wenjiang Zhou, Lucas Svensson +10

Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance o…