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Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods

journal contribution
posted on 2022-11-27, 23:02 authored by Zhou Tianhao, Hasan Sh Majdi, Dmitry Olegovich Bokov, Walid Kamal Abdelbasset, Lakshmi Thangavelu, Chia-Hung Su, Hoang Chinh NguyenHoang Chinh Nguyen, May Alashwal, Sami Ghazali
Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods

History

Journal

Journal of Molecular Liquids

Volume

351

Article number

118630

Pagination

1-13

Location

Amsterdam, The Netherlands

Publisher DOI

ISSN

0167-7322

eISSN

1873-3166

Language

English

Author URL

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

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    Research Publications

    Categories

    Keywords

    CARBON-DIOXIDEChemistryChemistry, PhysicalDecision treeDrugMachine learningPhysical SciencesPhysicsPhysics, Atomic, Molecular & ChemicalScience & TechnologySolubilitySULINDACSupercritical processingSchool of Life and Environmental SciencesFaculty of Science Engineering and Built Environment

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    All Rights Reserved

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