Mesoscale informed parameter estimation through machine learning: a case-study in fracture modeling

DOI10.1016/J.JCP.2020.109719OpenAlexW3043686891MaRDI QIDQ2125026

Nishant Panda, Gowri Srinivasan, Dave Osthus, Viet Chau, Daniel O'Malley, Diane Oyen, Humberto C. Godinez

Publication date: 11 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://www.osti.gov/biblio/1645087

zbMATH Keywords

machine learninguncertainty quantificationreduced order modelfracture propagationdata driven upscalingprobabilistic emulator

Mathematics Subject Classification ID

Statistics (62-XX) Mechanics of deformable solids (74-XX)

Uses Software

• Scikit
• BayesDA

Cites Work

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• Time-Delay Observables for Koopman: Theory and Applications
• Advanced Lectures on Machine Learning
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