MS016B Scientific Machine Learning for Nonlinear Model Reduction II
Main Organizer:
Prof.
Boris Kramer
(
University of California San Diego
, United States
)
Chaired by:
Prof. Benjamin Peherstorfer (Courant Institute of Mathematical Sciences, New York University , United States) , Prof. Boris Kramer (University of California San Diego , United States)
Prof. Benjamin Peherstorfer (Courant Institute of Mathematical Sciences, New York University , United States) , Prof. Boris Kramer (University of California San Diego , United States)
Scheduled presentations:
-
A Shifted POD Framework for Optimal Control of Dynamical Systems
-
Physically consistent predictive reduced-order modeling by enhancing Operator Inference with state constraints
-
Nonlinear Model Reduction of Parametrized Transport-Dominated Problems via Composite Sparsity
-
Robust and Reliable Nonlinear Model Order Reduction for Shocked Flows
-
Manifold-Adaptive Empirical Cubature for Hyper-Reduction in Nonlinear Computational Homogenization
-
Nonlinear Manifold-based pROM for Gas-Bearing Rotordynamics
