ECCOMAS 2022

8/6/22    11:00 - 13:00
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
Variational Physics Informed Neural Networks: an a priori error estimate
Stefano Berrone , Claudio Canuto and Moreno Pintore

Parametrized 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