Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility

Nidal H. Abu-Hamdeh, Mohammed N. Ajour

Open source

DOI: 10.3389/fmed.2026.1954445
Published: 2026-09-07
Container: Frontiers in Medicine
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fmed.2026.1954445,
  title = {Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility},
  author = {Nidal H. Abu-Hamdeh and Mohammed N. Ajour},
  year = {2026},
  journal = {Frontiers in Medicine},
  doi = {10.3389/fmed.2026.1954445},
  url = {https://doi.org/10.3389/fmed.2026.1954445}
}

RIS

TY  - JOUR
TI  - Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility
AU  - Nidal H. Abu-Hamdeh
AU  - Mohammed N. Ajour
PY  - 2026
JO  - Frontiers in Medicine
DO  - 10.3389/fmed.2026.1954445
UR  - https://doi.org/10.3389/fmed.2026.1954445
ER  -

APA

Abu-Hamdeh, N. H., & Ajour, M. N. (2026). Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility. Frontiers in Medicine. https://doi.org/10.3389/fmed.2026.1954445

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crossref · retrieved 2026-09-25T11:42:22.945Z