Reduced order modelling of the non-linear stiffness in MEMS resonators A Frangi, G Gobat International Journal of Non-Linear Mechanics 116, 211-218, 2019 | 57 | 2019 |
Backbone curves, Neimark-Sacker boundaries and appearance of quasi-periodicity in nonlinear oscillators: application to 1: 2 internal resonance and frequency combs in MEMS G Gobat, L Guillot, A Frangi, B Cochelin, C Touzé Meccanica 56 (8), 1937-1969, 2021 | 38 | 2021 |
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions P Conti, G Gobat, S Fresca, A Manzoni, A Frangi Computer Methods in Applied Mechanics and Engineering 411, 116072, 2023 | 31 | 2023 |
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition G Gobat, A Opreni, S Fresca, A Manzoni, A Frangi Mechanical Systems and Signal Processing 171, 108864, 2022 | 30 | 2022 |
Deep learning‐based reduced order models for the real‐time simulation of the nonlinear dynamics of microstructures S Fresca, G Gobat, P Fedeli, A Frangi, A Manzoni International Journal for Numerical Methods in Engineering 123 (20), 4749-4777, 2022 | 29 | 2022 |
Reduced order modelling and experimental validation of a MEMS gyroscope test-structure exhibiting 1: 2 internal resonance G Gobat, V Zega, P Fedeli, L Guerinoni, C Touzé, A Frangi Scientific Reports 11 (1), 16390, 2021 | 29 | 2021 |
Frequency combs in a MEMS resonator featuring 1: 2 internal resonance: ab initio reduced order modelling and experimental validation G Gobat, V Zega, P Fedeli, C Touzé, A Frangi Nonlinear Dynamics 111 (4), 2991-3017, 2023 | 23 | 2023 |
Nonlinear model order reduction of resonant piezoelectric micro-actuators: An invariant manifold approach A Opreni, G Gobat, C Touzé, A Frangi Computers & Structures 289, 107154, 2023 | 8 | 2023 |
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches G Gobat, S Fresca, A Manzoni, A Frangi Sensors 23 (6), 3001, 2023 | 7 | 2023 |
Direct parametrisation of invariant manifolds for non-autonomous forced systems including superharmonic resonances A Vizzaccaro, G Gobat, A Frangi, C Touzé Nonlinear Dynamics 112 (8), 6255-6290, 2024 | 5 | 2024 |
Reduced Order Modelling in a Mems Arch Resonator Exhibiting 1: 2 Internal Resonance V Zega, G Gobat, P Fedeli, P Carulli, AA Frangi 2022 IEEE 35th International Conference on Micro Electro Mechanical Systems …, 2022 | 4 | 2022 |
Experimental Evidence of Mechanical Frequency Comb in a Quad-Mass Mems Structure G Gobat, V Zega, P Fedeli, LG Falorni, L Guerinoni, C Touzé, A Frangi 2021 IEEE 34th International Conference on Micro Electro Mechanical Systems …, 2021 | 4 | 2021 |
Interpolation Based Reduced Order Modelling for Non-linearities in MEMS G Gobat, A Frangi, V Zega 2020 IEEE Sensors, 1-4, 2020 | 4 | 2020 |
Identification of strength and toughness of quasi-brittle materials from spall tests: a Sigma-point Kalman filter approach S Mariani, G Gobat Inverse Problems in Science and Engineering 27 (9), 1318-1346, 2019 | 4 | 2019 |
Direct parametrisation of invariant manifolds for generic non-autonomous systems including superharmonic resonances A Vizzaccaro, G Gobat, A Frangi, C Touzé arXiv preprint arXiv:2306.09860, 2023 | 3 | 2023 |
Investigation of Quasi-Periodic Solutions in Nonlinear Oscillators Featuring Internal Resonance G Gobat, A Frangi, C Touzé, L Guillot, B Cochelin Advances in Nonlinear Dynamics, 797-806, 2022 | 2 | 2022 |
SHM and Efficient Strategies for Reduced-Order Modeling G Gobat, SE Azam, S Mariani Engineering Proceedings 2 (1), 98, 2021 | 2 | 2021 |
Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches G Gobat, A Baronchelli, S Fresca, A Frangi Actuators 12 (7), 278, 2023 | 1 | 2023 |
Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches G Gobat, S Fresca, A Manzoni, A Frangi arXiv preprint arXiv:2205.05928, 2022 | 1 | 2022 |
Modellazione di ordin ridotto e decomposizione in sottodomini per l'analisi strutturale G GOBAT Politecnico di Milano, 2015 | 1 | 2015 |