41 citations
- Great Bay University3 papers
- Institute of MicroelectronicsCN3 papers
- Peking UniversityCN3 papers
- Bohai UniversityCN2 papers
- Guangdong University of TechnologyCN2 papers
- Tsinghua UniversityCN2 papers
- Aalto UniversityFI1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Beijing University of TechnologyCN1 paper
- Brookhaven National LaboratoryUS1 paper
- Campbell CollaborationNO1 paper
- Carleton UniversityCA1 paper
Showing 2024 · cond-mat.mtrl-sciShow all
3 papers · 2 filters
cond-mat.mtrl-sci2024★ 29 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★ 4 cited
Isotope engineering of carrier mobility via Fröhlich electron-phonon interaction
Wenjiang Zhou, Te-Huan Liu, Bai Song
Isotope effects on phonon properties and transport have been predicted and observed for decades. However, despite the crucial impact of electron-phonon interactions, the effect of…
cond-mat.mtrl-sci2024★ 41 cited
Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics
Xiguang Wu, Wenjiang Zhou, Haikuang Dong +5
Machine learned potentials (MLPs) have been widely employed in molecular dynamics (MD) simulations to study thermal transport. However, literature results indicate that MLPs genera…