2023 AIChE Annual Meeting

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

Chair

Knotts, T. IV, Brigham Young University

Co-Chair

Rajput, N. N., Stony Brook University

Presentations

03:30 PM

(472a) Solubility Prediction of Organic Molecules
Santiso, E., Jain, R., Ray, B., Baynes, R., Hughes-Oliver, J., Abolins, B. P.

03:45 PM

(472b) Thermodynamic Modeling and Solubility Measurements for the Design of Anti-Solvent Precipitation Processes
Hubler, K., Trevisan Melfi, D., Gaumer, R., To, A., Altman, K., Doolan, J., Scurto, A., Camarda, K.

04:00 PM

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

04:15 PM

(472d) Highly Accurate Prediction of Pure Component and Mixture Viscosities of Hydrocarbons Using the Tlvmie Force Field
Knotts, T. IV, Carlson, D., Wilding, W. V.

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
Knotts, T. IV, Mtetwa, F., Wilding, W. V., Giles, N.