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Stefania Fresca

Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs

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Nov 08, 2024
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On latent dynamics learning in nonlinear reduced order modeling

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Aug 27, 2024
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PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs

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May 14, 2024
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Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks

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Aug 03, 2023
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Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

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Nov 13, 2022
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Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches

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May 12, 2022
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Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs

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Feb 05, 2022
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Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

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Jan 25, 2022
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Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models

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Jun 10, 2021
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POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

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Jan 28, 2021
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