Spectral operator learning for parametric PDEs without data reliance

3 October 2023

Papers citing "Spectral operator learning for parametric PDEs without data reliance"

4 / 4 papers shown

Title
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data Mingu Kang Dongseok Lee Woojin Cho Jaehyeon Park Kookjin Lee Anthony Gruber Youngjoon Hong Noseong Park DiffM AI4CE 34 0 0 09 Oct 2024
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs Youngjoon Hong Seungchan Ko Jae Yong Lee 30 1 0 27 Apr 2024
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations Tengfei Xu Dachuan Liu Peng Hao Bo Wang 36 4 0 09 Apr 2023
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 128 509 0 11 Mar 2020