Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations

DOI10.1016/j.cma.2024.117152MaRDI QIDQ6588310

Roberto Perera, Vinamra Agrawal

Publication date: 15 August 2024

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

zbMATH Keywords

phase field modelmultiscalemachine learningcrack propagationtransfer learningdisplacement fieldsalgebraic multigrid schemegraph neural networkmesh-based

Mathematics Subject Classification ID

Brittle fracture (74R10) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs (65M55)

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