Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches

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,...

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Bibliographic Details
Main Authors: Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
deep learning
reduced order modeling
nonlinear dynamics
data-driven model
invariant manifolds
Online Access:https://www.mdpi.com/1424-8220/23/6/3001

Internet

https://www.mdpi.com/1424-8220/23/6/3001

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