2022 Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis - II

Chair

Paulson, J., The Ohio State University

Co-Chairs

Schroeder, W., The Pennsylvania State University
Stuber, M., University of Connecticut

Presentations

03:30 PM

(542a) Surrogate Modeling of 3D Flow Dynamics and Chemical Reactions Using Physics-Constrained Deep Learning

03:49 PM

(542b) A Machine Learning Approach to Bridge the Gap between the Kuramoto-Sivashinsky and the Navier-Stokes Equations for Thin Film Flow

04:08 PM

(542c) A Data-Driven Approach to Determining Problem Well-Posedness

04:27 PM

(542d) Nonlinear Data Fusion from Heterogeneous Partial Observation Sets

04:46 PM

(542e) Learning What to Learn: Common and Sensor-Specific Information across Multiple Sensors, with Some Thoughts about Sensor Spoofing and Causality

05:05 PM

(542f) Towards Exact Designs in Optimal Experiment Campaigns

05:24 PM

(542g) Squeeze Functional Approach for Adaptive Step Size in Solving Stiff ODE/Dae Problems

05:43 PM

(542h) Partial Multiparametric Programming for Accelerating Optimal Control, Applied to an Air Separation Unit