The effect of nano-scale interaction forces on the premature pull-in of real-life Micro-Electro-Mechanical Systems. - R. Ardito; Attilio Frangi; Alberto Corigliano; Biagio De Masi; G. Cazzaniga (Microelectron. Reliab., 2012)

$Z$-Axis Magnetometers for MEMS Inertial Measurement Units Using an Industrial Process. - Giacomo Langfelder; Cesare Buffa; Attilio Frangi; Alessandro Tocchio; Ernesto Lasalandra; Antonio Longoni (IEEE Trans. Ind. Electron., 2013)

Accurate Simulation of Parametrically Excited Micromirrors via Direct Computation of the Electrostatic Stiffness. - Attilio Frangi; Andrea Guerrieri; Nicoló Boni (Sensors, 2017)

Parametric Resonance in Electrostatically Actuated Micromirrors. - Attilio Frangi; Andrea Guerrieri; Roberto Carminati; Gianluca Mendicino (IEEE Trans. Ind. Electron., 2017)

Analysis of Frequency Stability and Thermoelastic Effects for Slotted Tuning Fork MEMS Resonators. - Valentina Zega; Attilio Frangi; Andrea Guercilena; Gabriele Gattere (Sensors, 2018)

Mode Coupling and Parametric Resonance in Electrostatically Actuated Micromirrors. - Attilio Frangi; Andrea Guerrieri; Nicoló Boni; Roberto Carminati; Marco Soldo; Gianluca Mendicino (IEEE Trans. Ind. Electron., 2018)

Nonlinear dynamics of MEMS resonators: numerical modelling and experiments. - Valentina Zega; Attilio Frangi; Gabriele Gattere (IEEE SENSORS, 2019)

"Medical Assistance in Contextual awareness" (AMICO): a project for a better cardiopathic patients quality of care. - Vincenza Di Palma; Daniela De Venuto; Stefano Ricci; Attilio Frangi; Alessandro Stuart Savoia; Dario Di Nocera; Paolo Zampognaro; Antonio Coronato; Ignazio Infantino; Loreto Pescosolido; Nicola De Luca; Andrea Di Matteo (IWASI, 2019)

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

Piezoelectric Micromirrors with Geometric and Material Nonlinearities: Experimental Study and Numerical Modeling. - Andrea Opreni; Attilio Frangi; Nicoló Boni; Gianluca Mendicino; Massimiliano Merli; Roberto Carminati (IEEE SENSORS, 2020)

An Outlook on Potentialities and Limits in Using Epitaxial Polysilicon for MEMS Real-Time Clocks. - Giorgio Mussi; Marco Bestetti; Valentina Zega; Attilio Frangi; Gabriele Gattere; Giacomo Langfelder (IEEE Trans. Ind. Electron., 2020)

Model Order Reduction based on Direct Normal Form: Application to Large Finite Element MEMS Structures Featuring Internal Resonance. - Andrea Opreni; Alessandra Vizzaccaro; Attilio Frangi; Cyril Touzé (CoRR, 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 folding point. - Alessandra Vizzaccaro; Andrea Opreni; Loïc Salles; Attilio Frangi; Cyril Touzé (CoRR, 2021)

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)

Multi-fidelity reduced-order surrogate modeling. - Paolo Conti; Mengwu Guo; Andrea Manzoni; Attilio Frangi; Steven L. Brunton; J. Nathan Kutz (CoRR, 2023)

Reduced order modelling of fully coupled electro-mechanical systems through invariant manifolds with applications to microstructures. - Attilio Frangi; Alessio Colombo; Alessandra Vizzaccaro; 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)

EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics. - Luca Rosafalco; Paolo Conti; Andrea Manzoni; Stefano Mariani 002; Attilio Frangi (CoRR, 2024)

VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification. - Paolo Conti; Jonas Kneifl; Andrea Manzoni; Attilio Frangi; Jörg Fehr; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

Reduced-order modelling of parameter-dependent systems with invariant manifolds: application to Hopf bifurcations in follower force problems. - André de F. Stabile; Alessandra Vizzaccaro; Loïc Salles; Alessio Colombo; Attilio Frangi; Cyril Touzé (CoRR, 2024)

3d fluid-structure interaction simulation with an Arbitrary-Lagrangian-Eulerian approach with applications to flying objects. - Daniele Di Cristofaro; Attilio Frangi; Massimiliano Cremonesi (Eng. Comput., 2025)