2023 AIChE Annual Meeting

Session: Advances in machine learning and intelligent systems II

Chair

Wen, M., University of Houston

Co-Chair

Tang, W., 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
Zhou, Y., Cohen, Y., Khan, B., Marki, N., Aguilar, C.

03:51 PM

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

04:12 PM

(199c) Self-Optimization of Chemical Reaction Under Dynamic Flow Conditions Using Reinforcement Learning
Benyahia, B., Yewale, A., Rielly, C. D.

04:33 PM

(199d) Low-Complexity, Modified Radial Basis Function Modeling Technique
Ahmad, M., Karimi, I.

04:54 PM

(199e) Identification of Mass-Constrained Bayesian Sparse Models from Noisy Data
Adeyemo, S., Bhattacharyya, D.

05:15 PM

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

05:36 PM

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