Jianxun Wang

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

Luning Sun, Han Gao, Shaowu Pan et al. · Computer Methods in Applied Mechanics and Engineering · 2019 · 982 citations · Full text

Computing, Computational Engineering, Physics +12

PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain

Han Gao, Luning Sun, Jianxun Wang · Journal of Computational Physics · 2020 · 581 citations · Full text

Natural Sciences, Mathematics, Physics +13

Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven, physics-informed Bayesian approach

Heng Xiao, Jinlong Wu, Jianxun Wang et al. · Journal of Computational Physics · 2016 · 305 citations · Full text

Natural Sciences, Computational Engineering, Physics +16

Predictive large-eddy-simulation wall modeling via physics-informed neural networks

Xiang I. A. Yang, Sana Zafar, Jianxun Wang et al. · Physical Review Fluids · 2019 · 290 citations

Engineering, Computational Engineering, Physics +17

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

Han Gao, Matthew J. Zahr, Jianxun Wang · Computer Methods in Applied Mechanics and Engineering · 2022 · 284 citations · Full text

Natural Sciences, Mathematics, Physics +17