![PDF] Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/cbb29bc0d04e47cf05e7e71f765c1f42bf155050/17-Figure11-1.png "PDF] Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models | Semantic Scholar")
PDF] Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models | Semantic Scholar
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GitHub - stefaniafresca/POD-DL-ROM: Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition - ScienceDirect
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Frontiers | POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium
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POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations | Advanced Modeling and Simulation in Engineering Sciences | Full Text
