Han Liu

B.S. and Ph.D. from Peking University. Now a researcher at UMN.

I write in-house computational fluid dynamics (CFD) solvers from the ground up: discretization, parallel computing (MPI, CUDA), CPU/GPU optimization. I like knowing what every line of my code does.

My work focuses on multiphase turbulence, both incompressible and compressible, using VOF, level set, CLSVOF, phase-field, and particle methods. Application-wise I have studied ventilated supercavitation, oil spills under breaking waves, COVID-19 airborne transmission, canopy flows, Richtmyer-Meshkov instability, and particle-laden turbulence. Now I’m exploring quantum computing and quantum tensor networks for solving the Navier-Stokes equations, and orchestrating multiple AI coding agents to develop and debug solvers. Sometimes they fix bugs while I sleep. The goal is next-gen CFD: fundamentally faster, scalable, smarter, and true digital twin.