Neural Differentiable Physics: Unifying Numerical PDEs and Deep Learning for Data-Augmented Computational Physics Speaker Bio: Dr. Wang has a multidisciplinary research background, cutting cross scientific machine learning, data assimilation, Bayesian inference, uncertainty quantification, and computational mechanics. In particular, his research focus is at the interface of scientific machine learning, data-driven modeling, scientific computing, UQ, and … Continue reading Seminar by Professor Jianxun Wang, Assistant Professor, Aerospace & Mechanical Engineering, University of Notre Dame