Bayesian reduced-order deep learning surrogate model for dynamic systems described by partial differential equations

DOI10.1016/J.CMA.2024.117147MaRDI QIDQ6588302

Joseph D. Hughes, Alexandre M. Tartakovsky, Yuanzhe Wang, James L. McCreight, Yifei Zong

Publication date: 15 August 2024

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

zbMATH Keywords

dimensional reductionmachine learningsurrogate modelsBayesian uncertainty quantification

Mathematics Subject Classification ID

Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Numerical optimization and variational techniques (65K10) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70)

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