Han Liu

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B.S. and Ph.D. from Peking University. Now a researcher at Saint Anthony Falls Laboratory, University of Minnesota.

I write in-house computational fluid dynamics (CFD) solvers from governing equations to production code: numerical schemes, parallel computing (MPI, CUDA), CPU/GPU optimization. I know what every line of my code does (before AI agents…).

My work focuses on multiphase turbulence across incompressible and compressible regimes. The solvers I built have tackled problems in ocean engineering, environmental response, public health, and high-energy physics.

Now I’m pushing CFD into its next generation by combining quantum computing, AI, and high-performance computing. I’m exploring quantum tensor networks for solving the Navier-Stokes equations. I also orchestrate multiple AI coding agents to develop and debug solvers. The goal: solvers that self-evolve, scale, and run while I sleep.

Timeline

77th APS DFD, Salt Lake City
pub A reduced order model for simulating an amphibious vehicle transiting the surf zone
34th Symposium on Naval Hydrodynamics
International Journal of Multiphase Flow, 135
talk Simulation-based study of wind effect on shoaling waves
Ocean Sciences Meeting, San Diego
Advances in Applied Mathematics and Mechanics, 11(3)
2018
2017
talk Simulation based study of supercavitation turbulence
10th Intl Workshop on Ship and Marine Hydrodynamics, Taiwan
2015
talk Preferential concentration of particles in compressible turbulence
15th European Turbulence Conference, Delft
2014
talk Direct numerical simulation of the turbulent mixing in Richtmyer-Meshkov instability
6th European Conference on Computational Fluid Dynamics, Barcelona
talk Energy transfer during the turbulent mixing in Richtmyer-Meshkov instability
2nd Intl Conference on High Energy Density Physics, Beijing