I am a Postdoctoral Associate at Cornell University, working with Prof. Jian-Xun Wang. Previously, I was a Postdoctoral Fellow at the University of Notre Dame. I received both my Ph.D. and B.S. degrees from Tianjin University.

My research focuses on developing differentiable computational frameworks that tightly integrate advanced numerical algorithms with machine learning techniques. I apply these methods to study fluid–structure interactions (FSI) and turbulence, with broad applications in soft robotics, civil infrastructure, renewable energy, and advanced manufacturing.

Download my curriculum vitae (temporarily unavailable).

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News

  • [Jun. 2025] TBD

Education

Publications

A complete list of my publications is available on Google Scholar.

CMAME 2025

Diff-FlowFSI

Diff-FlowFSI: A GPU-Optimized Differentiable CFD Platform for High-Fidelity Turbulence and FSI Simulations
Xiantao Fan, Xin-yang Liu, Meng Wang, Jian-Xun Wang
Computer Methods in Applied Mechanics and Engineering, 2025

NC 2024

CT-Bound cover

Conditional neural field latent diffusion model for generating spatiotemporal turbulence
Pan Du, Meet Hemant Parikh, Xiantao Fan, Xin-Yang Liu, Jian-Xun Wang
Nature Communications, 2024

Services

  • Reviewer: Ocean Engineering, International Journal of Mechanical Sciences, Physics of Fluids, Scientific Reports, Journal of Engineering and Applied Science, Engineering with Computers, Energy, Mechanical Systems and Signal Processing, Journal of Computational Physics
  • Member: American Physics Society (APS), American Geophysical Union (AGU), Society for Industrial and Applied Mathematics (SIAM), U.S. Association for Computational Mechanics (USACM)