| An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles TJ Jacobsson, A Hultqvist, A García-Fernández, A Anand, A Al-Ashouri, ... Nature Energy 7 (1), 107-115, 2022 | 173 | 2022 |
| Enhancing the stability of organic photovoltaics through machine learning TW David, H Anizelli, TJ Jacobsson, C Gray, W Teahan, J Kettle Nano Energy 78, 105342, 2020 | 45 | 2020 |
| Using large datasets of organic photovoltaic performance data to elucidate trends in reliability between 2009 and 2019 TW David, H Anizelli, P Tyagi, C Gray, W Teahan, J Kettle IEEE Journal of Photovoltaics 9 (6), 1768-1773, 2019 | 15 | 2019 |
| Enhancing the stability of perovskite solar cells through functionalisation of metal oxide transport layers with self-assembled monolayers H Anizelli, TW David, P Tyagi, E Laureto, J Kettle Solar Energy 203, 157-163, 2020 | 13 | 2020 |
| Outdoor performance of organic photovoltaics at two different locations: A comparison of degradation and the effect of condensation GA Soares, TW David, H Anizelli, B Miranda, J Rodrigues, P Lopes, ... Journal of Renewable and Sustainable Energy 12 (6), 2020 | 12 | 2020 |
| A novel computational model for organic PV cells and modules H Huang, N Bristow, TW David, J Kettle, G Todeschini International Journal of Smart Grid 4 (4), 157-163, 2020 | 10 | 2020 |
| Development of an organic photovoltaic energy harvesting system for wireless sensor networks; application to autonomous building information management systems and optimisation … S Zhang, N Bristow, TW David, F Elliott, J O'Mahony, J Kettle Solar Energy Materials and Solar Cells 236, 111550, 2022 | 8 | 2022 |
| Predicting diurnal outdoor performance and degradation of organic photovoltaics via machine learning; relating degradation to outdoor stress conditions TW David, GA Soares, N Bristow, D Bagnis, J Kettle Progress in Photovoltaics: Research and Applications, 2021 | 8 | 2021 |
| Multivariate approach for studying the degradation of perovskite solar cells P Tyagi, TW David, VD Stoichkov, J Kettle Solar Energy 193, 12-19, 2019 | 8 | 2019 |
| Design for a Sustainability Approach to Organic Solar Cell Design: the Use of Machine Learning to Quantify the Trade-off between Performance, Stability, and Environmental Impact TW David, J Kettle The Journal of Physical Chemistry C 126 (10), 4774-4784, 2022 | 3 | 2022 |
| Application of large datasets to assess trends in the stability of perovskite photovoltaics through machine learning BNN Alsulami, TW David, A Essien, S Kazim, S Ahmad, TJ Jacobsson, ... Journal of Materials Chemistry A 12 (5), 3122-3132, 2024 | 1 | 2024 |
| Towards the Automated Extraction of Structural Information from X-ray Absorption Spectra TW David, NKN Aznan, K Garside, TJ Penfold Digital Discovery, 2023 | 1 | 2023 |
| Development of an improved computer model for organic photovoltaic cells H Huang, T Coote, N Bristow, TW David, J Kettle, G Todeschini 2020 9th International Conference on Renewable Energy Research and …, 2020 | 1 | 2020 |
| Forecasting OPV outdoor performance, degradation rates and diurnal performances via machine learning TW David, G Amorim, D Bagnis, N Bristow, S Selbach, J Kettle 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), 0412-0418, 2020 | 1 | 2020 |
| Insect Collision Detection Using Machine Learning with Correlation to Climatic Conditions TW David, M Jones, P Cross, C Palego 2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022 | | 2022 |
| The Effect of OPV Module Size on Stability and Diurnal Performance: Outdoor Tests and Application of a Computer Model TW David, N Bristow, V Stoichkov, H Huang, G Todeschini, J Kettle Energies 14 (19), 6324, 2021 | | 2021 |
| Stability and performance assessment of organic photovoltaics using data analytics and machine learning TW David Bangor University, 2021 | | 2021 |
Jeff KettleUniversity of GlasgowVerified email at bangor.ac.uk
