Prof. Jian-xun Wang's research group -- we advance knowledge at the Interface of scientific AI and computational physics (scientific machine learning, data assimilation, physics-informed deep learning, Bayesian learning, differentiable programming, uncertainty quantification)
1. H. Gao*, L. Sun, J.-X. Wang, Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels, Physics of Fluids, 33(7), 073603, 2021 (Editors’ Pick) [Arxiv, DOI, bib]
2. A. Arzani, J.-X. Wang, R. D’Souza, Uncovering near-wall blood flow from sparse data with physics-informed neural networks, Physics of Fluids, 33, 071905, 2021 (Featured Article) [Arxiv, DOI, bib]