Bridging machine learning and COSMO-SAC for accurate prediction of infinite dilute activity coefficients of binary mixtures

ENGINEERING Chemical Engineering 2026

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Authors: Yuxin Qiu, G. L. Chen, Qian Liu, Zhiwen Qi, Kake Zhu, Zhen Song
DOI: 10.1007/s11705-026-2625-y
Cited by: 2
References: 43

Fields of Study & Subjects

Machine Learning in Materials Science Process Optimization and Integration Computational Drug Discovery Methods

Publication details

Journal / source
ENGINEERING Chemical Engineering
Publisher
Springer Science and Business Media LLC
Volume
20
Issue
1
Publication date
1 January 2026
Language
EN