2023 AIChE Annual Meeting

Session: Advances in machine learning and intelligent systems II

Chair

Mingjian Wen, University of Houston

Co-Chair

Wentao Tang, University of Minnesota

Presentations

03:30 PM

(199a) Machine Learning Modeling of Intermittent Operation of Reverse Osmosis Wellhead Water Treatment and Desalination Systems Via Transfer Learning and Long Short-Term Memory
Yang Zhou, Yoram Cohen, Bilal Khan, Nora Marki, Christian Aguilar

03:51 PM

(199b) From High-Fidelity to Data-Driven Modelling in Separation Systems: An Application to Chromatographic Separations
Foteini Michalopoulou, Maria Papathanasiou

04:12 PM

(199c) Self-Optimization of Chemical Reaction Under Dynamic Flow Conditions Using Reinforcement Learning
Brahim Benyahia, Ashish Yewale, Chris D. Rielly

04:33 PM

(199d) Low-Complexity, Modified Radial Basis Function Modeling Technique
Maaz Ahmad, Iftekar Karimi

04:54 PM

(199e) Identification of Mass-Constrained Bayesian Sparse Models from Noisy Data
Samuel Adeyemo, Debangsu Bhattacharyya

05:15 PM

(199f) Learning Kinetic Models from Data Using a Derivative-Free Sparse Identification Method and Domain Information
Mayuresh Kothare, Siddharth Prabhu, Srinivas Rangarajan

05:36 PM

(199g) Integrating Experimental Data into Molecular Simulations: A Hybrid Modeling Approach for Bridging Theory and Experiment
Silabrata Pahari, Joseph Kwon