Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches

Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches

We propose a deep learning-based reduced order modelling approach for micro- electromechanical systems. The method allows treating parametrised, fully coupled electromechanical problems in a non-intrusive way and provides solutions across the whole device domain almost in real time, making it suitab...

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Bibliographic Details
Main Authors: Giorgio Gobat, Alessia Baronchelli, Stefania Fresca, Attilio Frangi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Actuators
Subjects:
deep learning
reduced order modelling
nonlinear dynamics
data-driven model
Online Access:https://www.mdpi.com/2076-0825/12/7/278

Internet

https://www.mdpi.com/2076-0825/12/7/278

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