"Highly-Ccalable, Physics-Informed GANs for Learning Solutions of ..."

Liu Yang et al. (2019)

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DOI: 10.1109/DLS49591.2019.00006

access: closed

type: Conference or Workshop Paper

metadata version: 2022-06-23

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  - conf/sc/YangPKTKFBRCTH19
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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. DLS@SC 2019: 1-11

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