Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide.

Ban W, Zhang B, Wang C, Zhang Y, Cheng Z, Wang H, Zhu Z.

Open source

DOI: 10.3389/fchem.2026.1883845
Published: 2026-07-30
Container: Front Chem
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fchem.2026.1883845,
  title = {Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide.},
  author = {Ban W and  Zhang B and  Wang C and  Zhang Y and  Cheng Z and  Wang H and  Zhu Z.},
  year = {2026},
  journal = {Front Chem},
  doi = {10.3389/fchem.2026.1883845},
  url = {https://doi.org/10.3389/fchem.2026.1883845}
}

RIS

TY  - JOUR
TI  - Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide.
AU  - Ban W
AU  -  Zhang B
AU  -  Wang C
AU  -  Zhang Y
AU  -  Cheng Z
AU  -  Wang H
AU  -  Zhu Z.
PY  - 2026
JO  - Front Chem
DO  - 10.3389/fchem.2026.1883845
UR  - https://doi.org/10.3389/fchem.2026.1883845
ER  -

APA

W, B., B, Z., C, W., Y, Z., Z, C., H, W., & Z., Z. (2026). Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide.. Front Chem. https://doi.org/10.3389/fchem.2026.1883845

Source records

europe-pmc · retrieved 2026-09-27T02:04:47.683Z
doaj · retrieved 2026-09-27T02:04:47.672Z