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ORCIDGiorgio Gobat
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2020 – today
- 2023
[j1]Giorgio Gobat
, Stefania Fresca, Andrea Manzoni, Attilio Frangi:
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches. Sensors 23(6): 3001 (2023)- [i6]Andrea Opreni, Giorgio Gobat, Cyril Touzé, Attilio Frangi:
Nonlinear model order reduction of resonant piezoelectric micro-actuators: an invariant manifold approach. CoRR abs/2306.07540 (2023) - [i5]Alessandra Vizzaccaro, Giorgio Gobat, Attilio Frangi, Cyril Touzé:
Direct parametrisation of invariant manifolds for generic non-autonomous systems including superharmonic resonances. CoRR abs/2306.09860 (2023) - 2022
- [i4]Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi:
Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches. CoRR abs/2205.05928 (2022) - [i3]Paolo Conti, Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi:
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions. CoRR abs/2211.06786 (2022) - 2021
- [i2]Giorgio Gobat, Andrea Opreni, Stefania Fresca, Andrea Manzoni, Attilio Frangi:
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition. CoRR abs/2109.12184 (2021) - [i1]Stefania Fresca, Giorgio Gobat, Patrick Fedeli, Attilio Frangi, Andrea Manzoni:
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures. CoRR abs/2111.12511 (2021) - 2020
- [c1]Giorgio Gobat, Attilio Frangi, Valentina Zega:
Interpolation Based Reduced Order Modelling for Non-linearities in MEMS. IEEE SENSORS 2020: 1-4
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