Assistant Professor
Office: 214 Fluor Daniel Building
Phone: (864) 656-7189
Fax: (864) 656-4435
Email: zli7@clemson.edu
Visit Dr. Li's Website cecas.clemson.edu/zhenli
Zhen Li joined the Department of Mechanical Engineering in August 2019 following appointments as research associate professor at Brown University and postdoctoral research associate at University of California, Merced. His research interest is on multiscale modeling of soft matter, complex fluids, biophysics, and collective dynamics, using both bottom-up (coarse-grained molecular modeling) and top-down (from continuum descriptions to fluctuating hydrodynamics) approaches, along with high performance computing. Specific research topics include mathematical theory for coarse-graining and model reduction, statistical methods and machine-learning approaches applied to multiscale modeling of soft matter and biophysical systems, memory effects in complex fluids and non-local approaches, and concurrent coupling of heterogeneous solvers for scale-bridging.
Education
Ph.D.: Fluid Mechanics, Shanghai University, 2012
MS: Fluid Mechanics, Shanghai University, 2008
BS: Engineering Mechanics, Wuhan University, 2005
Research interests
Multiscale/Multiphysics modeling, Soft matter and Smart materials, Biophysics and Collective dynamics, Mesoscopic methods, Physics-informed statistical approaches
Selected Publications
- L. Lu, Z. Li*, H. Li, X. Li, P.G. Vekilov and G.E. Karniadakis. Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies. Science Advances, 2019, 5(8): eaax3905.
- Y. Wang, Z. Li*, J. Xu, C. Yang and G.E. Karniadakis. Concurrent coupling of atomistic simulation and mesoscopic hydrodynamics for flows over soft multi-functional surfaces, Soft Matter, 2019, 15: 1747-1757. (Selected as the Back Cover of Soft Matter)
- K. Zhang, Z. Li*, M. Maxey, S. Chen and G.E. Karniadakis. Self-cleaning of hydrophobic rough surfaces by coalescence-induced wetting transition, Langmuir, 2019, 35(6): 2431-2442. (Selected as the Cover of Langmuir)
- Z. Li, X. Bian, Y.-H. Tang and G.E. Karniadakis. A dissipative particle dynamics method for arbitrarily complex geometries. Journal of Computational Physics, 2018, 355: 534-547.
- A.L. Blumers, Y.-H. Tang, Z. Li*, X. Li and G.E. Karniadakis. GPU-accelerated red blood cells simulations with transport dissipative particle dynamics. Computer Physics Communications, 2017, 217: 171-179. (Released the open-source GPU code USERMESO2.0)
- Z. Li, H.S. Lee, E. Darve and G.E. Karniadakis. Computing the non-Markovian coarse-grained interactions derived from the Mori-Zwanzig formalism in molecular systems: Application to polymer melts. The Journal of Chemical Physics, 2017, 146(1): 014104.
