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

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 data analytics, we analyzed ex...

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Bibliographic Details
Main Authors: Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Perovskite solar cells
degradation
finite element model
long short-term memory
predictive modeling
Online Access:https://ieeexplore.ieee.org/document/10924233/
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