Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches

12 May 2022

Papers citing "Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches"

4 / 4 papers shown

Title
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models S. Fresca Andrea Manzoni AI4CE 47 36 0 10 Jun 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 63 215 0 28 Jan 2021
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder Youngkyu Kim Youngsoo Choi David Widemann T. Zohdi AI4CE 54 196 0 25 Sep 2020
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs S. Fresca Luca Dede' Andrea Manzoni AI4CE 68 264 0 12 Jan 2020