Daniel J. Fowles

University of Strathclyde — United Kingdom

Computer Science · Physical Sciences

4h-index58citations5works5.02yr avg

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Research Topics

Computational Drug Discovery Methods(3), Crystallization and Solubility Studies(2), Machine Learning in Materials Science(2), Protein Structure and Dynamics(1), Phase Equilibria and Thermodynamics(1)

Publications5 total

Physics-Based Solubility Prediction for Organic Molecules

8 cited

Chemical Reviews·2025· 8 citedOpen Access

Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study

2 cited

Journal of Diabetes Science and Technology·2024· 2 citedOpen Access

Solvation entropy, enthalpy and free energy prediction using a multi-task deep learning functional in 1D-RISM

11 cited

Physical Chemistry Chemical Physics·2023· 11 citedOpen Access

Accurately predicting solvation free energy in aqueous and organic solvents beyond 298 K by combining deep learning and the 1D reference interaction site model

4 cited

Digital Discovery·2022· 4 citedOpen Access

Toward Physics-Based Solubility Computation for Pharmaceuticals to Rival Informatics

33 cited

Journal of Chemical Theory and Computation·2021· 33 citedOpen Access

Frequent Co-authors

David Scott Palmer(4), John B. O. Mitchell(2), Rui Guo(1), Sarah L. Price(1), Benedict J. Connaughton(1), James W. Carter(1), Rose G. McHardy(1), Abdullah Ahmad(1), Muhammad Rafaqat Ali Qureshi(1), Stephen C. Bain(1), Stephen D. Luzio(1), Consuelo Handy(1), Bradley Love(1), Kathie Wareham(1), Lucy Barlow(1), Gareth Dunseath(1), JOEL H. CRANE(1), Isamar Carrillo Masso(1), Julia A. M. Ryan(1), Mohamed Sabih Chaudhry(1)