Targeting high performance of perovskite solar cells by combining electronic, manufacturing and environmental features in machine learning techniques

Targeting high performance of perovskite solar cells by combining electronic, manufacturing and environmental features in machine learning techniques

This study employs Machine Learning (ML) techniques to optimize the performance of Perovskite Solar Cells (PSCs) by identifying the ideal materials and properties for high Power Conversion Efficiency (PCE). Utilizing a dataset of 3000 PSC samples from previous experiments, the Random Forest (RF) tec...

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Bibliographic Details
Main Authors: M. Mammeri, L. Dehimi, H. Bencherif, Mongi Amami, Safa Ezzine, Rahul Pandey, M. Khalid Hossain
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Perovskite solar cell
Machine learning
Random forest technique
Prediction
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023087066

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023087066

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