Predicting aqueous and organic solubilities with machine learning: a workflow for identifying organic cosolvents
The workflow for organic cosolvent identification. The aqueous solubility model removes water-immiscible solvents, while the organic solubility model ranks the remaining solvents based on the solubility of the molecule of interest.
Authors
- Bryan R. Goldsmith (ORCID: https://orcid.org/0000-0003-1264-8018)
- Nirala Singh (ORCID: https://orcid.org/0000-0003-0389-3927)
- Maurycy Krzyżanowski (ORCID: https://orcid.org/0000-0002-9570-1955)
- Sirazam Munira Aishee
Institutions
- University of Michigan (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00134j
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Office of Naval Research