Digital Twins and Simulation Apps
Abstract
As digital twins and AI reshape the MEMS and sensors landscape, physics-based modeling is evolving into a collaborative, data-enriched process that spans R&D to production. In this talk, we present how the COMSOL Multiphysics® platform enables the integration of machine learning and surrogate models into high-fidelity multiphysics simulations, creating powerful, predictive digital twins for MEMS and sensor systems.
Biography
Andy Cai is an Applications Manager at COMSOL with a Ph.D. in Geophysics from Yale University. He leads application development efforts in multiphysics simulation for structural mechanics and acoustics. With over a decade of experience supporting simulation-driven innovation across industries, Andy specializes in enabling cross-functional teams to adopt physics-based modeling through intuitive simulation apps, digital twins, and machine learning integration.