Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue: Volume:429 Page:117152
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Perera Roberto^ORCID,Agrawal Vinamra^ORCID

Funder

US Department of Defense

Publisher

Elsevier BV

Reference69 articles.

1. A review on phase-field models of brittle fracture and a new fast hybrid formulation;Ambati;Comput. Mech.,2015

2. A phase-field model for ductile fracture at finite strains and its experimental verification;Ambati;Comput. Mech.,2016

3. Fast implicit solvers for phase-field fracture problems on heterogeneous microstructures;Ernesti;Comput. Methods Appl. Mech. Engrg.,2020

4. Adaptive fourth-order phase field analysis for brittle fracture;Goswami;Comput. Methods Appl. Mech. Engrg.,2020

5. Mixed graph-FEM phase field modeling of fracture in plates and shells with nonlinearly elastic solids;Zhang;Comput. Methods Appl. Mech. Engrg.,2022

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