Advances in Computational Methods and Numerical Analysis - I | AIChE

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Advances in Computational Methods and Numerical Analysis - I

Chair(s)

Paulson, J., The Ohio State University

Co-chair(s)

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

This session invites contributions on advances in mathematics, computational science, and numerical methods as applied to problems relevant to chemical engineering. Topics of interest include simulation, data analysis, uncertainty quantification, machine learning, optimization, decision making, and control, among others. Contributions should have a clear focus on progress in computing, algorithms, numerical analysis, or foundational mathematical theory.

Presentations

12:30 PM
(298a) Learning Continuous Models for Continuous Physics
12:49 PM
(298b) Enabling Interpolation of Sparse Data Via Neural ODEs
1:08 PM
(298c) Quantifying the Invertibility of Neural Networks and Their Transformations
1:27 PM
(298d) Staying the Course: Locating Fixed Points of Dynamical Systems (and Critical Points of Potentials) on Riemannian Manifolds Defined By Sampling Point-Clouds
1:46 PM
(298e) Manifold Learning Post-Processing Galerkin Algorithms for Dissipative PDEs on Their Approximate Inertial Manifolds
2:05 PM
(298f) Application of Systems of Differential Algebraic Equations to Kinetic Models of Metabolism
2:24 PM
(298g) Efficient Numerical Schemes for Population Balance Models
2:43 PM
(298h) Perspectives on Quantum Computing for Chemical Engineering: A Joint View from Academia and Industry

Topics 

Computing and Systems Engineering

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Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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