2020 Virtual AIChE Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis

Chair

Kamil Khan, McMaster University

Co-Chair

Dhruv Gupta, University of Wisconsin-Madison

Presentations

08:00 AM

(278a) Apply PC-SAFT Model in Industrial Scale Dynamic Simulation
Gang Xu

08:15 AM

(278b) Guaranteed Relaxations and Bounds on the Solution Sets of Parametric ODEs Via Implicit Linear Multistep Methods
Matthew Wilhelm, Matthew Stuber

08:30 AM

(278c) Generating Subgradients for Bounding in Global Dynamic Optimization
Yingkai Song, Kamil Khan

08:45 AM

(278d) A Model-Based Methodology for Continuous Experimental Designs
Kennedy Kusumo, Benoit Chachuat, Nilay Shah, Salvador Garcia-Munoz

09:00 AM

(278e) Tractable Global Solutions to Bayesian Optimal Experiment Design
Ali Mesbah, Diogo Rodrigues, Georgios Makrygiorgos

09:15 AM

(278f) Efficient Bayesian Inference for First-Principle Simulation Via Adversarial Networks and Low-Complexity Surrogate Models
Jonggeol Na, Nick Sahinidis

09:30 AM

(278g) Scientific Computation in the Latent Space through Manifold Learning
Nikolaos Evangelou, Felix Dietrich, Daniel Lehmberg, Georgios Psarellis, Eliodoro Chiavazzo, Ioannis G. Kevrekidis

09:45 AM

(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric Harmonics
Eleni Koronaki, Andreas G. Boudouvis, Nikolaos Evangelou, Georgios Psarellis, Felix Dietrich, Ioannis G. Kevrekidis