Multiscale Neural Operator: Learning Fast and Grid-independent PDE
Solvers

Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers

23 July 2022

Björn Lütjens

Catherine H. Crawford

Papers citing "Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers"

8 / 8 papers shown

Title
NLP Inspired Training Mechanics For Modeling Transient Dynamics Lalit Ghule Rishikesh Ranade Jay Pathak AI4CE 18 2 0 04 Nov 2022
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 38 21 0 29 Sep 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 202 0 28 Sep 2021
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data Rupa Kurinchi-Vendhan Björn Lütjens Ritwik Gupta Lucien Werner Dava Newman 31 17 0 17 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 176 1,111 0 27 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 233 1,240 0 08 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 256 2,298 0 18 Oct 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 91 388 0 10 Mar 2020