Artificial Intelligence in Perovskite-Based Materials for Energy Applications
DOI:
https://doi.org/10.62486/latia2025125Keywords:
Artificial Intelligence, Perovskite LEDs, Energy, Solar cellsAbstract
Introduction; Perovskite-based materials have gained significant attention in energy applications due to their remarkable optoelectronic properties and versatile composition. These materials, characterized by their ABX₃ crystal structure, have demonstrated high efficiencies in solar cells, light-emitting diodes (LEDs), and potential in energy storage systems.
Objective; Perovskite solar cells (PSCs) have achieved efficiencies comparable to silicon-based cells, with advantages in cost and fabrication flexibility.
Method; A literature review was conducted, including original articles, reviews, and bibliometric studies. The research focused on AI in Perovskite-Based Materials for Energy Applications.
Result; AI is driving significant advancements in the field of perovskite-based materials for energy applications.
Conclusion; Perovskite LEDs offer high color purity and tunable emission, making them ideal for display technologies. Despite challenges like stability and scalability, ongoing research aims to enhance their performance, positioning perovskites as key materials in sustainable energy technologies. By accelerating material discovery, optimizing manufacturing processes, enhancing stability and performance, and promoting sustainability
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Copyright (c) 2025 Tanweer Alam, Awadesh Prasad (Author)
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