Principal Investigator

Dr. Peichen Zhong
Dr. Peichen Zhong
Peichen grew up in Sichuan, the birthplace of the giant panda and a region known for 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 postdoctoral work at Lawrence Berkeley National Laboratory (LBNL) and the Bakar Institute of Digital Materials for the Planet (BIDMaP), where he was co-advised by Profs. Kristin Persson, Bingqing Cheng, and Aditi Krishnapriyan. He joined NUS MSE in July 2025 as an Assistant Professor and Presidential Young Professor. He enjoys traveling, hot pot, and writing in LaTeX. [LinkedIn, Google Scholar]

Research Fellows

Dr. Junmin Chen
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
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 crystal structure search methods. He has worked on superconducting hydrides, 2D materials, and superhard materials. He has deep knowledge of superconductivity theory. He enjoys physics, Chinese classical literature, and animation. [Google Scholar]
Timothy D. Pook
Timothy D. Pook
Research Engineer at NUS
Tim is currently a research engineer in the MSE Department, where he manages and maintains the HPC cluster and other computational resources. He enjoys martial arts and currently trains in Jiu-Jitsu and Judo.

PhD Students

Yicheng Chen
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 materials properties and was a research intern at Microsoft AI4Science. He is now 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)
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. She is now applying machine learning potentials and atomistic simulations to explore the properties of energy materials. Outside of research, she enjoys playing the guzheng and traveling.
Xiaoyun Yu
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
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 using machine learning to study energy materials and accelerate materials discovery. 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
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
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 processes and properties of materials. In his spare time, he is working toward his goal of becoming a bodybuilder. He is motivated by both novel research findings in the lab and the progress he sees in the gym!
Mengyi Chen
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 materials systems. Outside of research, she enjoys running and playing the violin.
Fanke Zhou
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) in ab initio quantum chemistry using a second-quantized framework. His current interests lie in machine-learning interatomic potentials (MLIPs). Outside of research, he enjoys playing football and watching films.

Alumni

Izumi Takahara (Visiting PhD student from UTokyo, 2025)
Bo Li (MS student from NUS MSE, 2025-2026)