Applied Mathematics Seminar

DATE2023-06-02 15:10-16:00


SPEAKERProfessor Yen-Hsi Richard Tsai(Department of Mathematics and Oden Institute for Computational Engineering and Sciences The University of Texas at Austin

TITLETime-Parallel Wave Propagation in Heterogeneous Media Aided by Deep Learning

ABSTRACT We present a deep learning framework for learning multiscale wave propagation in heterogeneous media. The framework involves the construction of linear feed-forward networks (experts) that specialize in different media groups and a nonlinear "committee" network that gives an improved approximation of wave propagation in more complicated media. The framework is then applied to stabilize the "parareal" schemes of Lions, Maday, and Turinici, which are time-parallelization schemes for evolutionary problems.