Computational Materials Physics / AI Molecular Dynamics
Ting Liang
I study thermal transport and atomistic simulation methods for complex materials, combining molecular dynamics, DFT-labeled training data, and machine-learning interatomic potentials.
$ gpumd --nep89 --thermal-transport
loading DFT-labeled training data...
running MLP-driven molecular dynamics
output: phonon transport / lifetime / conductivity
About
Thermal transport, atomistic simulation, and AI4X workflows.
I am a postdoctoral researcher in Electronic Engineering at The Chinese University of Hong Kong. My work focuses on scalable simulations, machine-learning potentials, and reproducible computational tools for functional materials.
At CUHK, I work with Prof. Jianbin Xu on atomistic modeling and thermal transport in advanced materials.
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