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

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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Bibliographic Details
Main Author: Zahraa Ismail (22457644) (author)
Other Authors: Ahmet Sait Alali (22457647) (author), Ahmad Muhammad (3857803) (author), Mahmoud Ashraf (22457650) (author), Sameh O. Abdellatif (19161589) (author)
Published: 2025
Subjects:
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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