Xiaolong (Long) Zhang

I joined the TCFD at Duke in Fall 2017. My interests are mainly about Computational and Theoretical Fluid Dynamics, Turbulence, Particle Dispersion in Turbulent Flows, Scientific Computing, and Applied Mathematics. Currently, I am working on Direct Numerical Simulations (DNS) of rotating particle-laden turbulence based on High Performance Computing (HPC). Specifically, my work includes developing the DNS code modules for solving the Navier-Stokes equation of rotating turbulence, implementing high-performance numerical algorithms and parallel-computing techniques to achieve highly-parallel and efficient computations, post-processing the big DNS data based on efficient in-house and self-developed codes, and theoretically investigating the DNS data using mathematical analysis. The goal of my project is to obtain fundamental insights and explanations for multiple notorious problems in rotating turbulence, e.g. particle dispersion, inverse energy cascade, quasi-two dimensionalization, etc.

Outside of work, I enjoy hiking, table tennis, and watching movies.


  • PhD student, Duke University, 2017-Present
  • M.S. in Mechanical Engineering (fully funded), Washington State University, 2017
  • B.S. in Ocean Engineering, Harbin Engineering University