2022 Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis - I

Chair

Joel Paulson, The Ohio State University

Co-Chairs

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

Presentations

12:30 PM

(298a) Learning Continuous Models for Continuous Physics
Aditi Krishnapriyan

12:49 PM

(298b) Enabling Interpolation of Sparse Data Via Neural ODEs
William Bradley, Fani Boukouvala, Ron Volkovinsky

01:08 PM

(298c) Quantifying the Invertibility of Neural Networks and Their Transformations
Thomas Bertalan, Tianqi Cui, Ioannis G. Kevrekidis, Mahyar Fazlyab

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
Anastasia Georgiou, Juan Bello-Rivas, John Guckenheimer, Ioannis G. Kevrekidis

01:46 PM

(298e) Manifold Learning Post-Processing Galerkin Algorithms for Dissipative PDEs on Their Approximate Inertial Manifolds
Cristina Martin Linares, Ioannis G. Kevrekidis, Thomas Bertalan, Nikolas Evangelou, Edriss S. Titi

02:05 PM

(298f) Application of Systems of Differential Algebraic Equations to Kinetic Models of Metabolism
Patrick Suthers, Costas D. Maranas

02:24 PM

(298g) Efficient Numerical Schemes for Population Balance Models
Richard D. Braatz, Pavan Inguva, Kaylee C. Schickel

02:43 PM

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