activity
20242026
most citedInsight into the effect of force error on the thermal conductivity from machine-learned potentials

29 citations · 38 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Intrinsically ultralow thermal conductivity in all-inorganic superatomic bulk crystals

Mingzhang Yang, Yuxi Wang, Jun Deng +7

Superatomic compounds, composed of atomic clusters interwoven by weak chemical bonds exhibit large anharmonicity vibrations, are excellent candidates for ultralow thermal conductiv…

cond-mat.mes-hall2026

Invariant ionic conductance in an atomically thin polar nanopore

Shengping Zhang, Haiou Zeng, Ningran Wu +11

Ion channels regulate many essential properties of biological cells, especially the membrane potential. Despite decades of efforts on artificial channels, it remains a great challe…

cond-mat.mtrl-sci20257 cited

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.mes-hall2024

Phonon heat conduction across slippery interfaces in twisted graphite

Fuwei Yang, Wenjiang Zhou, Zhibin Zhang +12

Interlayer rotation in van der Waals (vdW) materials offers great potential for manipulating phonon dynamics and heat flow in advanced electronics with ever higher compactness and…

cond-mat.mtrl-sci20242 cited

Thermal transport in a 2D amorphous material

Yuxi Wang, Xingxing Zhang, Wujuan Yan +12

Two-dimensional (2D) crystals proved revolutionary soon after graphene was discovered in 2004. However, 2D amorphous materials only became accessible in 2020 and remain largely une…