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08 June 2022 11:00 - 13:00
Add Deep Learning in Scientific Computing I Minisymposium organized by Manuel Jesus Castro Diaz, Siddharta Mishra and David Pardo |
Room: Lounge A2 MS110A Chair: David Pardo CoChair: Manuel J. Castro |
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Variational Physics Informed Neural Networks: an a priori error estimate
Stefano Berrone , Claudio Canuto and Moreno Pintore Parametric Compressible Flow Predictions using Physics-Informed Neural Networks Simon Wassing, Stefan Langer and Philipp Bekemeyer On quadrature rules for solving Partial Differential Equations with Neural Networks Jon Ander Rivera, Ángel Javier Omella, Jamie M. Taylor and David Pardo A Deep r-Adaptive Mesh Method for solving Partial Differential Equations Ángel J. Omella and David Pardo Accelerating High Order Discontinuous Galerkin solvers using neural networks Esteban Ferrer, Fernando Manrique de Lara and Kheir-eddine Otmani A Generative Adversarial Networks approach for solving Partial Differential Equations Carlos Uriarte, David Pardo, Judit Muñoz-Matute and Ignacio Muga |
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