High-throughput application and evaluation of the COSMO-SAC model for predictions of liquid–liquid equilibria
The predictive power of the COSMO-SAC activity coefficient model is rigorously put to the test using an extensive dataset of binary liquid–liquid equilibria (LLE).
Authors
- Ivan Michel Antolović (ORCID: https://orcid.org/0000-0001-6155-6895)
- Simon Stephan (ORCID: https://orcid.org/0000-0002-4578-3569)
- Jadran Vrabec (ORCID: https://orcid.org/0000-0002-7947-4051)
Institutions
- University of Kaiserslautern (DE)
- Technische Universität Berlin (DE)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00259a
- Primary Topic
- Process Optimization and Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft