Paolo Conti is now at the University of Washington (Seattle) where he will spend a long period of research on Deep Learning techniques in the framework of his PhD studies under the guidance of Proffs Steve Brunton and Nathan Kutz.
In bocca al lupo Paolo!
Andrea Opreni, Matteo Furlan, Andreea Bursuc, Nicoló Boni, Gianluca Mendicino, Roberto Carminati, and Attilio Frangi, One-to-one internal resonance in a symmetric MEMS micromirror, Appl. Phys. Lett. 121, 173501 (2022);
Matteo Furlan has been awarded a “Progetto Roberto Rocca Visiting Student Fellowship” in the framework of his PhD.
Matteo will be hosted by MIT Professor and MIT.nano Director Vladimir Bulovic, and will conduct research on “Acoustic Surfaces for Virtual Spaces and Enhanced Environments”
Congratulations Matteo!
We have just filed a new Patent!
Title: Long Stroke Mems Actuator Resilient To The Pull-In And Electronic System Including The Same
Filed: February 7, 2022
Inventors: A. Opreni, V. Zega, A. Frangi, G. Gattere, M. Riani
Congratulations Andrea and Valentina!
We have just filed a new Patent!
Title: Defect-Based MEMS Phononic Crystal Slab Waveguide
Filed: December 22, 2021
Inventors: V. Zega, C. Gazzola, L. Falorni, A. Frangi
Congratulations Valentina and Chiara!
Andrea Opreni, Giorgio Gobat, Federico Maspero and Matteo Furlan have been awarded a PoliFab starting grant with the project
Micro Electro Mechanical Systems Nonlinearities Exploitation for Filtering and Sensing Applications
The grant guarantees free access to the Polifab facilities and instruments for 800 hours to be used within 2 years. The project aims at exploiting nonlinearities in MEMS for practical applications and will leverage innovative Model Order Reduction (MOR) techniques recently developed to design and optimize MEMS structures to operate in a fully nonlinear regime.
Congratulations to the fab4!
Giorgio Gobat wins the Best Poster Award at the CAE Conference and Exhibition 2021
with the paper:
G. Gobat, S. Fresca, A. Manzoni, A. Frangi
Multistep Deep Learning Reduced Order Models for Geometric Nonlinearities in MEMS
Congratulations Giorgio!
Giorgio Gobat has been awarded the best poster prize at the CS3 Seminar Advanced Computing and Big Data
with the poster
G. Gobat, S. Fresca, A. Manzoni, A. Frangi
Multistep Deep Learning Reduced-Order Models for Geometric Nonlinearities in MEMS
Congratulations Giorgio!
Stefania Fresca’s paper has been selected as a keynote lecture at the
Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology MMLDT -CSET 2021
S. Fresca, G. Gobat, A. Manzoni, A Frangi
Deep learning-based reduced-order models for Micro-Electro-Mechanical systems
Congratulations Stefania!