2023 AIChE Annual Meeting

Session: Thermophysical Properties and Phase Behavior I

Chair

Erik Santiso, NC State University

Co-Chairs

Sanket Deshmukh, Virginia Polytechnic Institute and State University
Hiroyuki Matsuda, Nihon University

Presentations

12:30 PM

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

12:48 PM

(535b) Modeling Three-Dimensional Ising System Using Local Composition Models with Global Renormalization Group Theory
Shiang-Tai Lin, Yen-Jen Shih

01:06 PM

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

01:24 PM

(535d) A Model to Describe Mixtures of Cross-Associating Structural Isomers
Gottfried Segner, Tim Zeiner, Patrick Zimmermann

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
Maximilian Kohns, Joshua Marx, Kai Langenbach

02:00 PM

(535f) Accuracy of PR+Cosmosac Eos in Predicting Vapor Pressure with Machine Learning
Hsinghao Liang, Shiang-Tai Lin

02:18 PM

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

02:36 PM

(535h) Activity Coefficient Acquisition with Thermodynamics-Informed Active Learning for Phase Diagram Construction
Dinis Abranches, Edward Maginn, Yamil Colón