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Tudur Wyn David

As seen in: MDPI, Royal Society of Chemistry
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Articles

Application of large datasets to assess trends in the stability of perovskite photovoltaics through machine learning

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By Jeff Kettle, Shahzada Ahmad, Tudur Wyn David, Andrew Feeney
| Royal Society of Chemistry Verified
Application of large datasets to assess trends in the stability of perovskite photovoltaics through machine learning Current trends in manufacturing indicate that optimized decision-making using new state-of-the-art machine learning (ML) technologies will be used. Machine learning (ML) is a versatile technique to rapidly and accurately generate new insights from multi-factorial data.
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The Effect of OPV Module Size on Stability and Diurnal Performance: Outdoor Tests and Application of a Computer Model

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By Vasil Stoichkov, Han Huang, Tudur Wyn David, Noel Bristow
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited.
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