GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications

DOI10.1016/j.cma.2024.117458MaRDI QIDQ6643617

Federico Pichi, Oisín M. Morrison, Jan S. Hesthaven

Publication date: 26 November 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

model order reductiongraph neural networksoperator learningresolution invariancemultifidelity surrogate modellingparameterised PDEs

Mathematics Subject Classification ID

Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70)

This page was built for publication: GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications