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- W4386122742 abstract "Abstract Dye-sensitized solar cells (DSSC) have recently gained significant attention in a number of markets and are recognized as a better option for energy generation than conventional ones, providing clean, sustainable, and renewable green energy. Several studies have focused on photoanode optimization using machine learning. Photoanode produces performance results in the form of Voc and Isc, which are then used as model training and validation data. The highest predictive results were obtained for A3+A2 (TiO 2 18NR-T and TiO 2 R/SP). The TiO 2 layers combinations were prepared according to the optimization training performed was carried out with an efficiency of 2.630%." @default.
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- W4386122742 date "2023-08-01" @default.
- W4386122742 modified "2023-10-12" @default.
- W4386122742 title "Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method" @default.
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- W4386122742 doi "https://doi.org/10.1088/1742-6596/2556/1/012005" @default.
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