PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
DOI10.1016/j.cma.2024.117404MaRDI QIDQ6643563
Simone Brivio, Andrea Manzoni, Stefania Fresca
Publication date: 26 November 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
reduced order modelingdeep learningpretrainingphysics-informed machine learningnonlinear parametrized partial differential equations
Nonlinear parabolic equations (35K55) Initial-boundary value problems for second-order parabolic equations (35K20) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70)
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