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Tudur David
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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
2432022
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
532020
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
152022
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
152019
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
132020
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
122020
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
122020
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
102021
Multivariate approach for studying the degradation of perovskite solar cells
P Tyagi, TW David, VD Stoichkov, J Kettle
Solar Energy 193, 12-19, 2019
102019
Towards the Automated Extraction of Structural Information from X-ray Absorption Spectra
TW David, NKN Aznan, K Garside, TJ Penfold
Digital Discovery, 2023
52023
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
52022
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
42024
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
32020
Machine-Learning Strategies for the Accurate and Efficient Analysis of X-ray Spectroscopy
T Penfold, L Watson, C Middleton, T David, S Verma, T Pope, ...
Machine Learning: Science and Technology, 2024
22024
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
22020
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
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