An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis

1 December 2022

Papers citing "An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis"

6 / 6 papers shown

Title
Enhancing Fourier Neural Operators with Local Spatial Features Chaoyu Liu Davide Murari Chris Budd Lihao Liu Carola-Bibiane Schönlieb AI4CE 44 0 0 22 Mar 2025
Interpreting and generalizing deep learning in physics-based problems with functional linear models Amirhossein Arzani Lingxiao Yuan P. Newell Bei Wang AI4CE 31 7 0 10 Jul 2023
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation F. Lehmann F. Gatti M. Bertin Didier Clouteau AI4CE 31 24 0 20 Apr 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 119 251 0 11 Jul 2022
Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena B. P. Ferreira F. Pires Miguel A. Bessa AI4CE 13 16 0 24 Sep 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 232 2,287 0 18 Oct 2020