Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks

<p dir="ltr">This study introduces a novel figure of merit for evaluating the stability of perovskite solar cells (PSCs) by employing advanced Long Short-Term Memory (LSTM) neural networks to investigate degradation mechanisms. By harnessing the power of artificial intelligence and d...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zahraa Ismail (22457644) (author)
مؤلفون آخرون:	Ahmet Sait Alali (22457647) (author), Ahmad Muhammad (3857803) (author), Mahmoud Ashraf (22457650) (author), Sameh O. Abdellatif (19161589) (author)
منشور في:	2025
الموضوعات:	Engineering Electrical engineering Materials engineering Information and computing sciences Artificial intelligence Machine learning Perovskite solar cells degradation finite element model long short-term memory predictive modeling Computer architecture Photovoltaic cells Numerical stability Thermal stability Microprocessors Fabrication
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Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks

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