2022 Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis - I

Chair

Paulson, J., The Ohio State University

Co-Chairs

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

Presentations

12:30 PM

(298a) Learning Continuous Models for Continuous Physics

12:49 PM

(298b) Enabling Interpolation of Sparse Data Via Neural ODEs

01:08 PM

(298c) Quantifying the Invertibility of Neural Networks and Their Transformations

01:27 PM

(298d) Staying the Course: Locating Fixed Points of Dynamical Systems (and Critical Points of Potentials) on Riemannian Manifolds Defined By Sampling Point-Clouds

01:46 PM

(298e) Manifold Learning Post-Processing Galerkin Algorithms for Dissipative PDEs on Their Approximate Inertial Manifolds

02:05 PM

(298f) Application of Systems of Differential Algebraic Equations to Kinetic Models of Metabolism

02:24 PM

(298g) Efficient Numerical Schemes for Population Balance Models

02:43 PM

(298h) Perspectives on Quantum Computing for Chemical Engineering: A Joint View from Academia and Industry