Advances in Computational Methods and Numerical Analysis | AIChE

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Advances in Computational Methods and Numerical Analysis

Chair(s)

Khan, K., McMaster University

Co-chair(s)

Gupta, D., University of Wisconsin-Madison

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

Presentations

8:00 AM
(278a) Apply PC-SAFT Model in Industrial Scale Dynamic Simulation
8:15 AM
(278b) Guaranteed Relaxations and Bounds on the Solution Sets of Parametric ODEs Via Implicit Linear Multistep Methods
8:30 AM
(278c) Generating Subgradients for Bounding in Global Dynamic Optimization
8:45 AM
(278d) A Model-Based Methodology for Continuous Experimental Designs
9:00 AM
(278e) Tractable Global Solutions to Bayesian Optimal Experiment Design
9:15 AM
(278f) Efficient Bayesian Inference for First-Principle Simulation Via Adversarial Networks and Low-Complexity Surrogate Models
9:30 AM
(278g) Scientific Computation in the Latent Space through Manifold Learning
9:45 AM
(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric Harmonics

Topics 

Computing and Systems Engineering

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Pricing

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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