2023 AIChE Annual Meeting

Session: Advances in Computational Methods and Numerical Analysis - II

Co-Chairs

Pavan Inguva, Massachusetts Institute of Technology
Helen Durand, Wayne State University

Presentations

03:30 PM

(241a) Locating Saddle Points of Dynamical Systems: Gentlest Ascent Dynamics & Gradient Extremals on Manifolds Defined By Adaptively Sampled Point Clouds
Juan Bello-Rivas, Anastasia Georgiou, Hannes Vandecasteele, Ioannis G. Kevrekidis

03:55 PM

(241b) Improving Robustness of Machine Learning Modeling of Nonlinear Processes Using Lipschitz-Constrained Neural Networks
Zhe Wu, Wallace Tan Gian Yion, Ming Xiao

04:13 PM

(241c) Regularization and the Effect of Uncertainty in Parameter Estimation for NRTL Models
Volodymyr Kozachynskyi, Erik Esche, Martin Bubel, Jochen Schmid, Michael Bortz

04:31 PM

(241d) A Framework for Global Sensitivity Analysis Via Machine Learning for Dimensionality Reduction
Paulina Quintanilla, Niki Triantafyllou, Miriam Sarkis, Roberto Andrea Abbiati, Maria M Papathanasiou

04:49 PM

(241e) A Computationally Efficient Data-Driven Framework for Solving Water Flow Dynamics in Soil Via Fractional Diffusion Model
Zeyuan Song, Zheyu Jiang

05:07 PM

(241f) Fast Simulation or Fast Solution?
Thomas Eppinger, Ravindra Aglave, Liam McManus

05:25 PM

(241g) Data-Driven Bifurcation Diagrams for Neural (Integro-) Differential Equations
Nikolaos Evangelou, Gianluca Fabiani, Tianqi Cui, Dimitrios G. Giovanis, Ioannis G. Kevrekidis

05:43 PM

(241h) Modeling Sphingolipid Metabolism and Prediction of Orosomucoid (ORM) Proteins’ Regulatory Roles: 15 N Stable Isotope Labeling Studies
Abraham Osinuga, Rebecca Cahoon, Edgar Cahoon, Rajib Saha