2025 AIChE Annual Meeting

Session: AI, ML, and Data Science for Molecules and Materials III

Chair

Johannes Hachmann, University at Buffalo, SUNY

Presentations

03:30 PM

(633a) Accelerating Electrochemical Discovery through Integrated High-Throughput Experimentation and Machine Learning
Ricardo Mathison, George Gonzalez, Miguel Modestino

03:48 PM

(633b) Predicting Solubility Curves in Solvent Mixtures Using Thermodynamic Cycles and Machine Learning
Emad Al Ibrahim, Simona Buzzi, Florence Vermeire, William Green

04:06 PM

(633e) Physics- Versus Machine Learning-Based Thermodynamic Modeling: Application to Industrial Gas Treatment
Frederick de Meyer, Eric Cloarec, Kirill Klimenko, Alexander Varnek

04:24 PM

(633f) Leveraging Artificial Intelligence for Predicting Lithium Concentration in Oilfield Produced Water and Geothermal Brine
Fatick Nath

04:42 PM

(633g) Probabilistic Metabolic Modeling Identifies Key Microbiome Members in a Biomethanation Reactor That Reduces CO2 into Pure Methane
Andrew Freiburger, Heather Nielsen, Daniel Morrow, Keith Tyo, George Wells, Christopher S. Henry

05:00 PM

(633h) Using AI to Assess the Integrity Management System of the Rhds Unit
Ahmad Aladasani, Qutaiba Okasha, Ali Ameen