Funder
Advanced Research Projects Agency - Energy
US Department of Defense
U.S. Department of Energy
NSF
Division of Mathematical Sciences
Subject
Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis
Reference72 articles.
1. Model reduction and neural networks for parametric PDEs;Bhattacharya;SMAI J. Comput. Math.,2021
2. POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition;Fresca;Comput. Methods Appl. Mech. Eng.,2022
3. Neural operator: learning maps between function spaces with applications to pdes;Kovachki;J. Mach. Learn. Res.,2023
4. Fourier neural operator for parametric partial differential equations;Li,2021
5. Multipole graph neural operator for parametric partial differential equations;Li;Neural Inf. Process. Syst.,2020