Automated machine-learning framework for predicting drug solubility in supercritical CO<sub>2</sub> for sustainable process development.
- DOI
- 10.1038/s41598-026-59449-z
- Published
- 2026-06-25
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59449-z,
title = {Automated machine-learning framework for predicting drug solubility in supercritical CO\<sub\>2\</sub\> for sustainable process development.},
author = {Alshahrani SM and Pishnamazi M.},
year = {2026},
journal = {Sci Rep},
doi = {10.1038/s41598-026-59449-z},
url = {https://doi.org/10.1038/s41598-026-59449-z}
}RIS
TY - JOUR TI - Automated machine-learning framework for predicting drug solubility in supercritical CO<sub>2</sub> for sustainable process development. AU - Alshahrani SM AU - Pishnamazi M. PY - 2026 JO - Sci Rep DO - 10.1038/s41598-026-59449-z UR - https://doi.org/10.1038/s41598-026-59449-z ER -
APA
SM, A., & M., P. (2026). Automated machine-learning framework for predicting drug solubility in supercritical CO<sub>2</sub> for sustainable process development.. Sci Rep. https://doi.org/10.1038/s41598-026-59449-z
Source records
- europe-pmc · retrieved 2026-09-27T06:01:36.216Z
- doaj · retrieved 2026-09-27T06:01:36.222Z