Oct. 6th, 2020
A kernel perspective on learning PDEs via PINs, Houman Owhadi, Caltech.
Approximating Solution Operators Defined by PDEs, Andrew Stuart, Caltech.
Synergy Between PINNs and PROMs and Application to Hypersonics, Charbel Farhat, Stanford University.
Multi-fidelity Meta-learning with application to PINNs, Mike Kirby, University of Utah.
Feb. 25th, 2021
PINN Family George Em Karniadakis, Brown University.
Inertal_Report_MURI_Utah, University of Utah.
slides_muri_HJNN_TingweiMeng, Brown University.
psaros_presentation, Brown University.