| A review of reinforcement learning in chemistry S Gow, M Niranjan, S Kanza, JG Frey Digital Discovery 1 (5), 551-567, 2022 | 13 | 2022 |
| Robustness under parameter and problem domain alterations of Bayesian optimization methods for chemical reactions RM Khondaker, S Gow, S Kanza, JG Frey, M Niranjan Journal of Cheminformatics 14 (1), 59, 2022 | 1 | 2022 |
| Group 8: Challenge: Event detection in nanopore data W Adewole, HI Aysel, S Gow, Z Jiang, D Stamatis University of Southampton, 2022 | | 2022 |
| AI4SD Series: Machine learning summer school S Kanza, M Niranjan, N Knight, S Munday, S Gow | | 2022 |
| AI3SD Video: Reinforcement Learning Methods S Gow | | 2022 |
| AI3SD intern project: Reaction condition optimisation R Khondaker, S Gow University of Southampton, 2021 | | 2021 |
| AI3SD Video: Skills4Scientists-Poster & Careers Symposium-Poster Compilation A Vekassy, A Fenzl, E Gulsen, H Zewdu, J Longio, M Hoffman, R Barrett, ... | | 2021 |
| Uncertainty quantication and propagation through complex chains of computational models S Gow University of Southampton, 2021 | | 2021 |
