Based on the fundamental principles of statistical physics and quantum mechanics, we combine machine learning with first-principles approaches to study complex physicochemical behavior of matter at the atomic scale, focusing on the structure, dynamics and reaction processes of water, electrolytes and solid–liquid interfaces. By developing generalizable multiscale theoretical frameworks, we aim to reveal the fundamental laws of matter and improve predictions of the properties of complex condensed matter systems.
[BACKGROUND INFORMATION]
Chunyi Zhang is an assistant professor at the Eastern Institute of Technology, Ningbo. She obtained her Ph.D. from Peking University in 2019 and conducted postdoctoral research at Princeton University and Temple University in the United States. She joined the Eastern Institute of Technology in 2025. Her primary research interests include computational condensed matter physics, water science, and interface science. In recent years, she has published multiple first-author papers in journals such as Nature Communications, Physical Review Letters, Physical Review B, and The Journal of Physical Chemistry B. Her research has been featured as a news article in Science magazine (DOI: 10.1126/science.adk0023).
[EDUCATIONAL BACKGROUND]
2014-2019: PhD. in Fluid Mechanics, College of Engineering, Peking University
2010-2014: B.S. in Engineering Mechanics, School of Mechanical Engineering, Tianjin University
[WORK EXPERIENCE]
2025.01-Present: Assistant Professor, College of Science at EIT
2023.04-2025.01: Postdoctoral Fellow, Department of Chemistry, Princeton University
2019.09-2023.03: Postdoctoral Fellow, Department of Physics, Temple University
[RESEARCH GROUP WEBSITE]
https://chunyizh.github.io/
