104 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Hong KongHK12 papers
- Bay InstituteUS9 papers
- Beihang UniversityCN9 papers
- Chinese Academy of SciencesCN8 papers
- Peking UniversityCN8 papers
- Southern University of Science and TechnologyCN8 papers
- Sun Yat-sen UniversityCN8 papers
- Chinese University of Hong KongHK7 papers
- Huazhong University of Science and TechnologyCN6 papers
- University of Science and Technology of ChinaCN5 papers
- Bohai UniversityCN4 papers
- California State University, NorthridgeUS4 papers
8 papers · 1 filter
Dopant-modulated lattice softening drives drastic thermal conductivity reduction in β-FeSi2 thermoelectrics
Cuiping Zhang, Qingyong Ren, Yangfan Cui +15
Suppressing lattice thermal conductivity (K_lat) is pivotal for thermoelectric efficiency. While traditional strategies rely heavily on phonon scattering from mass- and size-mismat…
Parity Anomalous Semimetal with Minimal Conductivity Induced by an In-Plane Magnetic Field
Binbin Wang, Jiayuan Hu, Bo Fu +5
The interplay between topological materials and local symmetry breaking gives rise to diverse topological quantum phenomena. A notable example is the parity anomalous semimetal (PA…
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…
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…
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…
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…
Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials
Haikuan Dong, Yongbo Shi, Penghua Ying +9
Molecular dynamics (MD) simulations play an important role in understanding and engineering heat transport properties of complex materials. An essential requirement for reliably pr…
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…