Design and predict the potential of imidazole-based organic dyes in dye-sensitized solar cells using fingerprint machine learning and supported by a web application

Design and predict the potential of imidazole-based organic dyes in dye-sensitized solar cells using fingerprint machine learning and supported by a web application

Abstract This scientific paper presents a novel approach to explore and predict the potential of imidazole-based organic dyes for use in Dye-Sensitized Solar Cells (DSSCs) using a machine learning web application. The design of efficient and cost-effective organic dyes is critical to enhance the per...

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Bibliographic Details
Main Author: Mohamed M. Elsenety
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Imidazole
Organic dyes
Dye-sensitized solar cells
Machine learning
PCE prediction
Online Access:https://doi.org/10.1038/s41598-024-76739-6
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https://doi.org/10.1038/s41598-024-76739-6

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