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20212026
most citedReduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

77 citations · 209 across the 17 of their papers we have counts for

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math.NA2021

Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures

Stefania Fresca, Giorgio Gobat, Patrick Fedeli +2

We propose a non-intrusive Deep Learning-based Reduced Order Model (DL-ROM) capable of capturing the complex dynamics of mechanical systems showing inertia and geometric nonlineari…

math.NA2021★ 39 cited

Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition

Gobat G., Opreni A., Fresca S. +2

We apply the Proper Orthogonal Decomposition (POD) method for the efficient simulation of several scenarios undergone by Micro-Electro-Mechanical-Systems, involving nonlinearites o…