Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

DOI10.3934/mine.2023096MaRDI QIDQ6581233

Federico Fatone, Stefania Fresca, Andrea Manzoni

Publication date: 30 July 2024

Published in: Mathematics in Engineering (Search for Journal in Brave)

zbMATH Keywords

proper orthogonal decompositionreduced order modelingdeep learningparametrized PDEslong-short term memory networkstime forecasting

Mathematics Subject Classification ID

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

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Related Items (3)

PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs ⋮ Parametric model reduction with convolutional neural networks ⋮ Application of deep learning reduced-order modeling for single-phase flow in faulted porous media

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