MS383B Machine Learning-Enhanced Solvers for Partial Differential Equations in Computational Science II
Main Organizer:
Prof.
Ioannis Kalogeris
(
National Technical University Of Athens
, Greece
)
Chaired by:
Prof. VISSARION PAPADOPOULOS (National Technical University of Athens , Greece) , Dr. Gerasimos Sotiropoulos (N.T.U.A. , Greece)
Prof. VISSARION PAPADOPOULOS (National Technical University of Athens , Greece) , Dr. Gerasimos Sotiropoulos (N.T.U.A. , Greece)
Scheduled presentations:
-
Uncertainty-Aware Operator Learning for Parametric PDEs Using Gaussian Processes
-
Structure-preserving deep operator networks to the Boltzmann equation
-
Physics-Informed Neural Networks for Bending Analysis of Bi-Directionally Functionally Graded Microbeams
-
Differentiable-Chemistry PINNs for the Transient Flamelet Equation: Memory-Light Surrogates for Stiff Non-Premixed Combustion
-
Data–Free Surrogate for Polymer Thermo–Oxidation by Boundary–Parametrized Multi–PINNs
-
Stochastic Manifold-Aware Neural Preconditioning for Parametric Elliptic PDES
