Large-scale Neural Solvers for Partial Differential Equations

8 September 2020

Papers citing "Large-scale Neural Solvers for Partial Differential Equations"

6 / 6 papers shown

Title
Machine learning and domain decomposition methods -- a survey A. Klawonn M. Lanser J. Weber AI4CE 24 7 0 21 Dec 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Continual learning autoencoder training for a particle-in-cell simulation via streaming Patrick Stiller Varun Makdani Franz Pöschel R. Pausch A. Debus Michael Bussmann Nico Hoffmann AI4CE 19 3 0 09 Nov 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 26 1,180 0 14 Jan 2022
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 48 209 0 16 Jul 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 25 2 0 01 Jun 2021