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ZHANG Rui 張銳
PhD, City University of New York
Assistant Professor

2003 Sep - 2007 Jul

Fudan University

Bachelor of Science in Physics

Department of Physics

2007 Sep - 2013 Sep

City University of New York

PhD in Physics 

Graduate Center & City College, with Prof. Joel Koplik

Professional experience

Prof. ZHANG, Rui obtained a BS degree in physics in 2007 from the Department of Physics at Fudan University, China. Before he joined the Department of Physics at HKUST in 2020 as a PI, he worked with Liew Family Professor Juan J. de Pablo, a member of the National Academy of Engineering, at the Pritzker School of Molecular Engineering, the University of Chicago in the United States, where he collaborated with Horace B. Horton Professor Margaret Gardel’s group on actin filaments, an important type of biopolymers. Prior to his postdoc experience at the University of Chicago, he did his PhD with Prof. Joel Koplik on nano fluids simulations from 2009 to 2013 at the Benjamin Levich Institute and the Department of Physics at the City College, a senior flagship college in the City University of New York system. During his PhD, he also collaborated with Prof. Taehun Lee’s group on droplet impact simulations.

Prof. Zhang has a broad interest in Computational Soft Matter Physics, with a focus on biologically relevant systems, such as biopolymers and bacteria suspensions. The overarching goal of his research group is to understand emerging phenomena in nature and borrow the wisdom to design biomimetic materials to help tackle human’s grand challenges in energy, health, and environments. Specifically, his group strives to develop theoretical frameworks and multiscale simulation tools, including molecular dynamics and computational fluid dynamics, to understand the complex dynamical phenomena in a wide range of soft matter and biophysical systems. His group is closely working with world-leading experimentalists to test model predictions, interpret new observations, and further design synthetic materials for practical applications. His current research interests include active matter, liquid crystals, multiphase and porous materials, and mechanical metamaterials. He is also interested in applying machine learning for certain materials design problems.


Statistical Mechanics I (Graduate Level)

Useful links:

Mehran Kardar, MIT: Statistical Mechanics I: Statistical Mechanics of Particles (MIT open course)

David Tong, U of Cambridge: Lectures on Statistical Physics

Michael Cross, Caltech: Statistical Physics (Physics 127a, b, c)

Phillip Duxbury, Michigan State: Statistical Mechanics (PHY831)

Sergei Lukyanov, Rutgers: Statistical Mechanics (Physics 611)

HUI Pak Ming, CUHK: Statistical Mechanics (PHYS4031)

Daniel Arovas, UCSD: Thermodynamics and Statistical Mechanics (pdf)

Covered topics:

Review of Thermodynamics

Useful mathematical tools - probability theory

Classical Statistical Mechanics - Ensemble theory

Quantum Statistical Mechanics - Density matrix

Phase transition topics

Interacting systems

Brownian motion and FokkerPlanck equation

Kinetic theory and Boltzmann equation

*Introduction to non-equilibrium thermodynamics


Room 4460, Academic Building, HKUST,

Clear Water Bay, Kowloon, Hong Kong SAR

(852) 2358 5734

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