2023 AIChE Annual Meeting

Session: Thermophysical Properties and Phase Behavior I

Chair

Santiso, E., NC State University

Co-Chairs

Deshmukh, S., Virginia Polytechnic Institute and State University
Hatch, H., NIST
Matsuda, H., Nihon University

Presentations

12:30 PM

(535a) Development of Thermodynamically-Consistent Machine-Learning Equations of State: Application to the Mie Fluid
Muller, E., Chaparro, G.

12:48 PM

(535b) Modeling Three-Dimensional Ising System Using Local Composition Models with Global Renormalization Group Theory
Lin, S. T., Shih, Y. J.

01:06 PM

(535c) Classical Behavior of Hydrogen and the Prediction of Its Mixture Properties
Sadus, R., Deiters, U. K.

01:24 PM

(535d) A Model to Describe Mixtures of Cross-Associating Structural Isomers
Segner, G., Zeiner, T., Zimmermann, P.

01:42 PM

(535e) Phase Equilibria and Relative Permittivity in Fluid Mixtures with Co-Oriented Fluid Functional Equation for Electrostatic Interactions (COFFEE) and Molecular Simulations
Kohns, M., Marx, J., Langenbach, K.

02:00 PM

(535f) Accuracy of PR+Cosmosac Eos in Predicting Vapor Pressure with Machine Learning
Liang, H., Lin, S. T.

02:18 PM

(535g) Clapeyron.Jl: An Extensible, Open-Source Fluid-Thermodynamics Toolkit
Walker, P., Riedmann, A., Yew, P.

02:36 PM

(535h) Activity Coefficient Acquisition with Thermodynamics-Informed Active Learning for Phase Diagram Construction
Abranches, D., Maginn, E., Colón, Y.