Machine Learning-Based Prediction of Dye-Sensitized Solar Cell Efficiency for Manufacturing Process Optimization

The dye-sensitized solar cell (DSSC) is a promising candidate, offering an attractive substitute for conventional silicon-based photovoltaic technologies. The performance advantages of the DSSC have led to a surge in research activity reflected in the number of publications over the years. To delive...

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發表在:	Energies
Main Authors:	Zoltan Varga, Marek Bobcek, Zsolt Conka, Ervin Racz
格式:	Article
語言:	英语
出版:	MDPI AG 2025-09-01
主題:	dye sensitized solar cell DSSC machine learning classification manufacturing sustainable development
在線閱讀:	https://www.mdpi.com/1996-1073/18/18/5011