Publications co-authored with Joe Davies

4. Blackshaw, T.M.; Davies, J.C.; Spoerer, K.T.; Hirst, J.D., Enhancing Monte Carlo tree search for retrosynthesis. J. Chem. Inf. Model., in press, (2025).
DOI: http://dx.doi.org/10.1021/acs.jcim.5c00417

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3. Davies, J.C.; Hirst, J.D., Software tools for green and sustainable chemistry. In Reference Module in Chemistry, Molecular Sciences and Chemical Engineering, Ed. Béla Török, ISBN 9780124095472 (2024).
DOI: http://dx.doi.org/10.1016/B978-0-443-15742-4.00049-1

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2. Boobier, S., Davies, J.C., Derbenev, I.N., Handley, C.M. & Hirst, J.D., AI4Green: An Open-Source ELN for Green and Sustainable Chemistry. J. Chem. Inf. Mod., 63, 2895–2901 (2023).
DOI: http://dx.doi.org/10.1021/acs.jcim.3c00306

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1. Davies, J.C.; Pattison, D. & Hirst, J.D., Machine learning for yield prediction for chemical reactions using in situ sensors. J. Mol. Graph. Mod., 118, 108356 (2023).
DOI: http://dx.doi.org/10.1016/j.jmgm.2022.108356

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