all AI news
Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches. (arXiv:2205.05928v1 [math.DS])
May 13, 2022, 1:11 a.m. | Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi
cs.LG updates on arXiv.org arxiv.org
Micro-Electro-Mechanical-Systems are complex structures, often involving
nonlinearites of geometric and multiphysics nature, that are used as sensors
and actuators in countless applications. Starting from full-order
representations, we apply deep learning techniques to generate accurate,
efficient and real-time reduced order models to be used as virtual twin for the
simulation and optimization of higher-level complex systems. We extensively
test the reliability of the proposed procedures on micromirrors, arches and
gyroscopes, also displaying intricate dynamical evolutions like internal
resonances. In particular, we …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Cleared Senior Software Engineer, Computer Vision, Federal
@ CCRi | Chantilly, Virginia, United States
Data Analyst - B2C
@ DAZN | Hyderabad, India
Product Marketing Manager - AI Chatbot
@ SendBird | San Mateo, California, United States
Alternance Alternant Ingénieur Développement logiciel temps réel embarqué / computer vision (F/H)
@ Alstom | Villeurbanne, FR
AOT Data Analyst II - Highway Project Delivery
@ State of Vermont | Barre, VT, US