Prediction of effective elastic moduli of rocks using graph neural networks

DOI10.1016/j.cma.2024.116780arXiv2310.19274OpenAlexW4391001568WikidataQ129905038 ScholiaQ129905038MaRDI QIDQ6202965

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Publication date: 26 March 2024

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

Full work available at URL: https://arxiv.org/abs/2310.19274

zbMATH Keywords

elastic modulidigital rock physicsgraph neural networks

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)

Cites Work

• Unnamed Item
• A variational approach to the theory of the elastic behaviour of multiphase materials
• Rapid estimation of permeability from digital rock using 3D convolutional neural network
• A deep learning perspective on predicting permeability in porous media from network modeling to direct simulation
• Introduction to Micromechanics and Nanomechanics
• Long-wavelength propagation in composite elastic media I. Spherical inclusions
• Deeper Inside PageRank
• Depth-First Search and Linear Graph Algorithms

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