Issue 2, 2026
From the journal:

Digital Discovery

Correction: A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents

Weiling Wang,a   Isabel Cooley,b   Morgan R. Alexander,c   Ricky D. Wildman,d   Anna K. Croftb  and  Blair F. Johnston*a  

* Corresponding authors

a CMAC, University of Strathclyde, Glasgow, UK
E-mail: weiling.wang@strath.ac.uk, blair.johnston@strath.ac.uk

b Department of Chemical Engineering, Loughborough University, Loughborough, UK

c School of Pharmacy, University of Nottingham, University Park, Nottingham, UK

d Centre for Additive Manufacturing, University of Nottingham, Nottingham, UK

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

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Article information

DOI
https://doi.org/10.1039/D6DD90005D
Article type
Correction
Submitted
27 Jan 2026
Accepted
27 Jan 2026
First published
04 Feb 2026
This article is Open Access
Creative Commons BY license

Digital Discovery, 2026,5, 957-957

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Correction: A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents

W. Wang, I. Cooley, M. R. Alexander, R. D. Wildman, A. K. Croft and B. F. Johnston, Digital Discovery, 2026, 5, 957 DOI: 10.1039/D6DD90005D

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