Correction: A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents
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Wang, Weiling and Cooley, Isabel and Alexander, Morgan R. and Wildman, Ricky D. and Croft, Anna K. and Johnston, Blair F. (2026) Correction: A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents. Digital Discovery, 5 (2). p. 957. ISSN 2635-098X (https://doi.org/10.1039/d6dd90005d)
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Abstract
Correction for ‘A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents’ by Weiling Wang et al., Digital Discovery, 2026, https://doi.org/10.1039/D5DD00456J
ORCID iDs
Wang, Weiling
ORCID: https://orcid.org/0000-0001-6111-6945, Cooley, Isabel, Alexander, Morgan R., Wildman, Ricky D., Croft, Anna K. and Johnston, Blair F.
ORCID: https://orcid.org/0000-0001-9785-6822;
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Item type: Article ID code: 95482 Dates: DateEvent4 February 2026Published4 February 2026Published Online27 January 2026Accepted27 January 2026SubmittedSubjects: Science > Mathematics > Electronic computers. Computer science > Other topics, A-Z > Human-computer interaction
Medicine > Therapeutics. PharmacologyDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Technology and Innovation Centre > Continuous Manufacturing and Crystallisation (CMAC)Depositing user: Pure Administrator Date deposited: 05 Feb 2026 09:51 Last modified: 02 Mar 2026 08:44 URI: https://strathprints.strath.ac.uk/id/eprint/95482
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