Interpolation Based Reduced Order Modelling for Non-linearities in MEMS. - Giorgio Gobat; Attilio Frangi; Valentina Zega (IEEE SENSORS, 2020)

Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition. - Giorgio Gobat; Andrea Opreni; Stefania Fresca; Andrea Manzoni; Attilio Frangi (CoRR, 2021)

Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures. - Stefania Fresca; Giorgio Gobat; Patrick Fedeli; Attilio Frangi; Andrea Manzoni (CoRR, 2021)

Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches. - Giorgio Gobat; Stefania Fresca; Andrea Manzoni; Attilio Frangi (CoRR, 2022)

Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions. - Paolo Conti; Giorgio Gobat; Stefania Fresca; Andrea Manzoni; Attilio Frangi (CoRR, 2022)

Nonlinear model order reduction of resonant piezoelectric micro-actuators: an invariant manifold approach. - Andrea Opreni; Giorgio Gobat; Cyril Touzé; Attilio Frangi (CoRR, 2023)

Direct parametrisation of invariant manifolds for generic non-autonomous systems including superharmonic resonances. - Alessandra Vizzaccaro; Giorgio Gobat; Attilio Frangi; Cyril Touzé (CoRR, 2023)

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches. - Giorgio Gobat; Stefania Fresca; Andrea Manzoni; Attilio Frangi (Sensors, 2023)