Web: http://arxiv.org/abs/2205.05928

May 13, 2022, 1:11 a.m. | Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi

cs.LG updates on arXiv.org arxiv.org

Micro-Electro-Mechanical-Systems are complex structures, often involving
nonlinearites of geometric and multiphysics nature, that are used as sensors
and actuators in countless applications. Starting from full-order
representations, we apply deep learning techniques to generate accurate,
efficient and real-time reduced order models to be used as virtual twin for the
simulation and optimization of higher-level complex systems. We extensively
test the reliability of the proposed procedures on micromirrors, arches and
gyroscopes, also displaying intricate dynamical evolutions like internal
resonances. In particular, we …

arxiv deep deep learning learning math physics virtual

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