| Deep learning in chemistry AC Mater, ML Coote Journal of chemical information and modeling 59 (6), 2545-2559, 2019 | 574 | 2019 |
| Effect of heteroatom and functionality substitution on the oxidation potential of cyclic nitroxide radicals: role of electrostatics in electrochemistry K Zhang, BB Noble, AC Mater, MJ Monteiro, ML Coote, Z Jia Physical Chemistry Chemical Physics 20 (4), 2606-2614, 2018 | 60 | 2018 |
| The effects of Lewis acid complexation on type I radical photoinitiators and implications for pulsed laser polymerization BB Noble, AC Mater, LM Smith, ML Coote Polymer Chemistry 7 (41), 6400-6412, 2016 | 29 | 2016 |
| The nk landscape as a versatile benchmark for machine learning driven protein engineering AC Mater, M Sandhu, C Jackson bioRxiv, 2020.09. 30.319780, 2020 | 5 | 2020 |
| Leveraging ancestral sequence reconstruction for protein representation learning DS Matthews, MA Spence, AC Mater, J Nichols, SB Pulsford, M Sandhu, ... Nature Machine Intelligence 6 (12), 1542-1555, 2024 | 4 | 2024 |
| Machine Learning in Discrete Molecular Spaces AJLC Mater PQDT-Global, 2022 | | 2022 |
| Explainable Molecular Sets: Using Information Theory to Generate Meaningful Descriptions of Groups of Molecules AC Mater, ML Coote Journal of Chemical Information and Modeling 61 (10), 4877-4889, 2021 | | 2021 |
