Prediction of power conversion efficiency parameter of inverted organic solar cells using artificial intelligence techniques

Abstract Organic photovoltaic (OPV) cells are at the forefront of sustainable energy generation due to their lightness, flexibility, and low production costs. These characteristics make OPVs a promising solution for achieving sustainable development goals. However, predicting their lifetime remains...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Mustapha Marzouglal, Abdelkerim Souahlia, Lakhdar Bessissa, Djillali Mahi, Abdelaziz Rabehi, Yahya Z. Alharthi, Amanuel Kumsa Bojer, Aymen Flah, Mosleh M. Alharthi, Sherif S. M. Ghoneim
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-10-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Power conversion efficiency Inverted organic solar cells Prediction Multi-layer perceptron Long short-term memory Machine learning
Online-Zugang:	https://doi.org/10.1038/s41598-024-77112-3
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