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09/01/2023
Multi-fidelity reduced-order surrogate modeling
High-fidelity numerical simulations of partial differential equations (P...
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06/16/2023
Direct parametrisation of invariant manifolds for generic non-autonomous systems including superharmonic resonances
The direct parametrisation method for invariant manifold is a model-orde...
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06/13/2023
Nonlinear model order reduction of resonant piezoelectric micro-actuators: an invariant manifold approach
This paper presents a novel derivation of the direct parametrisation met...
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11/13/2022
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions
Highly accurate simulations of complex phenomena governed by partial dif...
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05/12/2022
Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches
Micro-Electro-Mechanical-Systems are complex structures, often involving...
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11/24/2021
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures
We propose a non-intrusive Deep Learning-based Reduced Order Model (DL-R...
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09/21/2021
High order direct parametrisation of invariant manifolds for model order reduction of finite element structures: application to large amplitude vibrations and uncovering of a f
This paper investigates model-order reduction methods for geometrically ...
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03/18/2021