Xin WU

Project Research Associate @ The University of Tokyo

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I work in computational materials science, focusing on thermophysical properties, heat transfer, and thermal management in functional materials.

My research combines molecular dynamics simulations, machine-learned interatomic potentials, and first-principles calculations to understand how heat, ions, and interfacial structures interact at the atomic scale. I am especially interested in semiconductors, energy materials, two-dimensional materials, and their heterostructures, where nanoscale heat transfer plays a critical role in device performance, reliability, and safety.

Research interests: AI for science · 2D, semiconductor, energy materials · nanoscale heat transfer · machine-learned interatomic potentials · quantum chemistry & first-principles calculations

I received my PhD in Solid Mechanics from the South China University of Technology (SCUT) in 2023, advised by Prof. Qiang Han. Along the way, I spent a year as a visiting Ph.D. researcher at the Institute of Industrial Science, the University of Tokyo, working with Prof. Masahiro Nomura — an experience that shaped much of how I think about this field.

This site is where I share my work, thoughts, and occasional notes from the research trenches. Feel free to look around, and don’t hesitate to reach out! 🤗

news

May 29, 2026 New paper in Advanced Functional Materials on an anionic covalent organic framework separator for dendrite-free potassium metal batteries. 🔋
Mar 01, 2026 Invited review in Applied Physics Express: From mathematical order to functional materials — new developments in thermal transport engineering. 📝
Dec 01, 2025 New paper in Science Advances on phosphorus–lithium double-helix nanoribbons. ✨
Aug 01, 2025 GPUMD 4.0 is out in Materials Genome Engineering Advances — a high-performance MD package for materials simulations with machine-learned potentials. 🚀