The AM3 Group:

Principal Investigator

Dr. Peichen Zhong

zhongpc[AT]nus.edu.sg

Peichen grew up in Sichuan (the birthplace of pandas with a lot of spicy food). He received a BS in Physics from USTC (2018) and a PhD in Materials Science from UC Berkeley (2023) under the supervision of Prof. Gerd Ceder. He then completed the postdoctoral work at Lawrence Berkeley National Laboratory (LBNL) and Bakar Institute of Digital Materials for the Planet (BIDMaP), co-advised by Profs. Kristin Persson, Bingqing Cheng, and Aditi Krishnapriyan. He joined NUS MSE as an Assistant Professor under the Presidential Young Professorship from July 2025. He enjoys traveling, hot pot, and writing with LaTeX. [LinkedIn, Google Scholar]

Research Fellows

Dr. Junmin Chen

PhD in Materials Science, Tsinghua University

Junmin is a postdoctoral research fellow specializing in computational chemistry. His research focuses on developing hybrid physics-based AI frameworks to enhance molecular dynamics simulations. He is particularly interested in applying these advanced models to investigate the complex physics of functional polymers and electrolytes. Beyond his research, Junmin enjoys badminton, table tennis, hiking, and photography. [LinkedIn]

Dr. Zihan Zhang

PhD in Physics, Jilin University

Zihan is a postdoctoral research fellow with a background in computational physics. His research interests include condensed matter physics and the design of materials using structure search methods. He has worked on superconducting hydrides, 2D materials, and super-hard materials. He has a strong knowledge of superconductivity theory. He enjoys physics, Chinese classical literature, and animation. [Google Scholar]

Timothy D. Pook

Research Engineer at NUS

Tim is current a research engineer in MSE department, managing and maintaining the HPC cluster and other computational resources. He enjoys martial arts, currently training Jiu-Jitsu and Judo.

PhD Students

Yicheng Chen

BS/MS from Fudan University (08/2025-)

Yicheng is a PhD student with a background in quantum chemistry and machine learning. He previously worked on using graph neural networks to predict molecular and material properties and was a research intern at Microsoft AI4Science (2024). Now, he is exploring how ML can be used in electrochemical and energy storage systems. Outside of research, he enjoys playing video games - especially RPGs.

Xintian Wang (Wendy)

BS/MS from Oxford University (01/2026-)

Wendy is a PhD student with a strong interest in molecular dynamics simulations of solid-state electrolyte materials. She has also worked on projects in batteries and electrocatalysis. Previously, she was a research intern at the AI for Science Institute. Now she is applying machine learning potentials and atomistic simulations to explore the properties of energy materials. Outside of research, she enjoys playing the guzheng and travelling.

Xiaoyun Yu

MS from Hunan University (08/2026-)

Xiaoyun is an incoming PhD student working at the intersection of AI4S, molecular dynamics, and hardware-software co-design. She works on MLIPs, agentic AI workflows, and accelerator architectures including FPGA and ASIC systems. Outside of work, you’ll usually find her with a good coffee, trying great food, heading outdoors, or dancing.

Zihui Li

MS from Tsinghua University (08/2026-)

Zihui is an incoming PhD student who is passionate about AI and materials science. Her research focuses on leveraging machine learning to explore the properties of energy materials and accelerate the discovery of new materials. Outside of research, Zihui is a big fan of traveling and exploring different cities. She is also a huge K-pop enthusiast and loves keeping up with her favorite groups.

Hyejeong Song

MS from Korea University (08/2026-)

Hyejeong is an incoming PhD student with a strong interest in AI for materials design and discovery. She has worked on atomistic simulations, machine learning, and multiscale materials modeling, focusing on the predictive design and understanding of electronic materials. Outside of research, she loves traveling and going to concerts and music festivals.

Visiting Scholars

Yubai Shi

Visiting PhD student from UCAS (2025-2026)

Yubai is a PhD candidate at the University of Chinese Academy of Sciences (UCAS). He is interested in ferroelectrics and using ML-assisted molecular dynamics to investigate the microscopic process and properties of matter. In his spare time, he is pursuing his goal of becoming a bodybuilder. He is not only inspired by the most novel and interesting research findings in the lab, but also motivated by the larger muscles in the gym!

Mengyi Chen

Visiting PhD student from NUS Math (2026-)

Mengyi is a PhD candidate in the Department of Mathematics at NUS. Her research focuses on applying machine learning to study the macroscopic dynamics of complex systems. She is currently collaborating with our group on understanding and modeling the dynamics of material systems. Outside of research, she enjoys running and playing the violin.

Fanke Zhou

Undergraduate summer intern (IRIS@NUS)

Fanke is an undergraduate student at the University of Science and Technology of China (USTC). His past research focused on Neural Network Quantum States (NNQS) for ab initio quantum chemistry within the second-quantization framework. His current interests lie in machine learning interatomic potentials (MLIP). Outside of research, he enjoys playing football and watching films.