2023 AIChE Annual Meeting

Session: Symposium on Thermophysical Properties for Industry: Experiments and Models

Chair

Thomas Knotts, Brigham Young University

Co-Chair

Nav Nidhi Rajput, Stony Brook University

Presentations

03:30 PM

(472a) Solubility Prediction of Organic Molecules
Erik Santiso, Rakshit Jain, Bhaskar Ray, Ronald Baynes, Jacqueline Hughes-Oliver, Brendan P. Abolins

03:45 PM

(472b) Thermodynamic Modeling and Solubility Measurements for the Design of Anti-Solvent Precipitation Processes
Kaden Hubler, Diego Trevisan Melfi, Rex Gaumer, Allen To, Kate Altman, Jennifer Doolan, Aaron Scurto, Kyle Camarda

04:00 PM

(472c) An Efficient Implementation of the Test Particle Insertion Method for High-Throughput Screening of Gas Absorption in Ionic Liquids
Ryan Smith, Edward Maginn

04:15 PM

(472d) Highly Accurate Prediction of Pure Component and Mixture Viscosities of Hydrocarbons Using the Tlvmie Force Field
Thomas Knotts, Daniel Carlson, W. Vincent Wilding

04:30 PM

(472e) Towards Transferrable and User-Friendly Machine Learning Models for Thermophysical Property Prediction-a Case Study with Normal Boiling Point and Critical Constants
Thomas Knotts, Frank Mtetwa, Wade Vincent Wilding, Neil Giles