2022 Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis - II

Chair

Joel Paulson, The Ohio State University

Co-Chairs

Wheaton Schroeder, The Pennsylvania State University
Matthew Stuber, University of Connecticut

Presentations

03:30 PM

(542a) Surrogate Modeling of 3D Flow Dynamics and Chemical Reactions Using Physics-Constrained Deep Learning
Youngseok Bak, Jong Min Lee

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
Ioannis G. Kevrekidis, Cristina Martin Linares, Eleni Koronaki, Georgios Psarellis, George Karapetsas

04:08 PM

(542c) A Data-Driven Approach to Determining Problem Well-Posedness
Thomas Bertalan, Elizaveta Rebrova, George Kevrekidis, Ioannis G. Kevrekidis

04:27 PM

(542d) Nonlinear Data Fusion from Heterogeneous Partial Observation Sets
David Sroczynski, Erez Peterfruend, Ioannis G. Kevrekidis, Ronald Coifman

04:46 PM

(542e) Learning What to Learn: Common and Sensor-Specific Information across Multiple Sensors, with Some Thoughts about Sensor Spoofing and Causality
David Sroczynski, Felix Dietrich, George Kevrekidis, Ronen Talmon, Matthew Williams, David Siu, Ioannis G. Kevrekidis

05:05 PM

(542f) Towards Exact Designs in Optimal Experiment Campaigns
Marco Sandrin, Benoit Chachuat, Constantinos C. Pantelides

05:24 PM

(542g) Squeeze Functional Approach for Adaptive Step Size in Solving Stiff ODE/Dae Problems
Gang Xu, Mark Stadtherr

05:43 PM

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