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.
News
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[Feb, 2026] I joined the Early Career Editorial Board of Journal of Fluids and Structures, a leading journal in the field of fluid–structure interactions. I look forward to contributing to and serving our research community.
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[Dec. 15-19, 2025] I will attend the AGU Annual Meeting in New Orleans and look forward to discussing differentiable physics and AI for sustainable environments.
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[Nov. 23-25, 2025] I will attend APS DFD in Houston and give a talk titled “Differentiable Hybrid Neural-CFD Modeling of Spatiotemporal Dynamics in 3D Wall-Bounded Turbulence.”
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[Nov, 2025] New features in Diff-FlowFSI: differentiable complex geometry; vectorized, high-order and sharp immersed boundary methods. Open to structural optimization, morphing and control.
Education
- Ph.D. in Mechanical Engineering, Tianjin University, 2018 - 2022
- M.S. in Mechanical Engineering, Tianjin University, 2016 - 2022
- B.Eng. in Process Equipment and Control Engineering, Tianjin University, 2012 - 2016
Publications
A complete list of my publications is available on Google Scholar.
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
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
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CMAME 2025 Neural differentiable modeling with diffusion-based super-resolution for two-dimensional spatiotemporal turbulence
Xiantao Fan, Deepak Akhare, Jian-Xun Wang
Computer Methods in Applied Mechanics and Engineering, 2025 -
JCP 2024 Differentiable hybrid neural modeling for fluid-structure interaction
Xiantao Fan, Jian-Xun Wang
Journal of Computational Physics, 2024 -
CMAME 2024 Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation
Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
Computer Methods in Applied Mechanics and Engineering, 2024 -
EGY 2022 Toward a high performance and strong resilience wind energy harvester assembly utilizing flow-induced vibration: Role of hysteresis
Xiantao Fan, Kai Guo, Yang Wang
Energy, 2022 -
RENE 2021 Impacts of coexisting buildings and trees on the performance of rooftop wind turbines: An idealized numerical study
Xiantao Fan, Mingwei Ge, Qi Li
Renewable Energy, 2021
Services
- Editorial Board: Journal of Fluids and Structures
- 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, Applied Energy, Nonlinear Dynamics
- Member: American Physics Society (APS), American Geophysical Union (AGU), Society for Industrial and Applied Mathematics (SIAM), U.S. Association for Computational Mechanics (USACM)