Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs

Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston. Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. In Third IEEE/ACM Workshop on Deep Learning on Supercomputers, DLS@SC 2019, Denver, CO, USA, November 17, 2019. pages 1-11, IEEE, 2019. [doi]

Abstract

Abstract is missing.