A two-stage deep learning architecture for model reduction of parametric time-dependent problems
DOI10.1016/j.camwa.2023.08.026arXiv2301.09926MaRDI QIDQ6048996
Gianluigi Rozza, Martin W. Hess, Isabella Carla Gonnella, Giovanni Stabile
Publication date: 13 October 2023
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2301.09926
reduced order modelingdeep learningconvolutional layerslong-short term memory networkstime forecastingtime-dependent parametric PDEs
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Navier-Stokes equations for incompressible viscous fluids (76D05) Neural networks for/in biological studies, artificial life and related topics (92B20) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)
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