A Comparison of the UNIFAC Model vs. Graph Neural Network-based Models for the 
Prediction of Binary Vapor-Liquid Equilibria

Sanchez Medina, Edgar Ivan; Minor, Ann-Joelle; Sundmacher, Kai

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A Comparison of the UNIFAC Model vs. Graph Neural Network-based Models for the Prediction of Binary Vapor-Liquid Equilibria

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Sanchez Medina, Edgar Ivan
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Minor, Ann-Joelle
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher, Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Sanchez Medina, E. I., Minor, A.-J., & Sundmacher, K. (2024). A Comparison of the UNIFAC Model vs. Graph Neural Network-based Models for the Prediction of Binary Vapor-Liquid Equilibria. Talk presented at 33rd European Symposium on Applied Thermodynamics 2024. Edinburgh, UK. 2024-06-09 - 2024-06-12.

Cite as: https://hdl.handle.net/21.11116/0000-000F-FE51-8

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