Han Liu

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 the ground up: discretization, 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, both incompressible and compressible, using VOF, level set, CLSVOF, phase-field, immersed boundary method, and particle methods. Applications span ventilated supercavitation, oil spills under breaking waves, COVID-19 airborne transmission, canopy flows, Richtmyer-Meshkov instability, and particle-laden turbulence.

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. Sometimes they fix bugs while I sleep. The goal is next-gen CFD: fundamentally faster, scalable, smarter, and true digital twin.