MS149A Uncertainty, Monitoring & Physics-Enhanced Machine Learning in Computational Mechanics I
Main Organizer:
Prof.
Luca Rosafalco
(
Politecnico di Milano
, Italy
)
Chaired by:
Prof. Andrea Manzoni (Politecnico di Milano , Italy) , Prof. Attilio Frangi (Politecnico di Milano , Italy)
Prof. Andrea Manzoni (Politecnico di Milano , Italy) , Prof. Attilio Frangi (Politecnico di Milano , Italy)
Scheduled presentations:
-
Keynote
NF-SINDy for discovering partially or indirectly observed microsystems
-
PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations
-
Learning Nonlinear Forces for the Harmonic Balance Method Using Neural Networks
-
SRUKF for the Calibration of the Sensitivity in MEMS Accelerometers
-
Estimating beam boundary stiffness using a physics-informed neural network
