Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling

Hoang, Chinh Nguyen; Alamray, Fawzia; Kamal, Mehnaz; Diana, Tazeddinova; Mohamed, Abdullah; Algarni, Mohammed; Su, Chia-Hung

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Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling

journal contribution

posted on 2023-05-19, 06:02 authored by Chinh Nguyen Hoang, Fawzia Alamray, Mehnaz Kamal, Tazeddinova Diana, Abdullah Mohamed, Mohammed Algarni, Chia-Hung Su

Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling

History

Journal

JOURNAL OF MOLECULAR LIQUIDS

Volume

354

Article number

ARTN 118888

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.molliq.2022.118888

ISSN

0167-7322

eISSN

1873-3166

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000846881100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1.1 Refereed article in a scholarly journal

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ELSEVIER

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Keywords

Science & Technology Physical Sciences Chemistry, Physical Physics, Atomic, Molecular & Chemical Chemistry Physics Pharmaceuticals Modeling Thermodynamics Solubility Machine learning CONTINUOUS WET GRANULATION CFD Physical Chemistry not elsewhere classified

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Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling

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