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- W4379118019 abstract "A methodology based on the use of finite-difference time-domain calculations and Genetic Algorithm is proposed that predicts aluminum nanoparticles (NPs) can be used for improving the opto-electronic performance of thin-film solar cells. Aluminum nanoparticles were coated with a thin silica shell layer that resulted in shifting the absorption properties of aluminum nanoparticles to longer wavelengths and aiding the chemical isolation of the highly reactive aluminum nanoparticle core. Silicon thin-film solar cells were then modified with various sizes of aluminum nanoparticles with varied shell thicknesses that were placed on top of the silicon substrate, embedded inside it, and placed in a “sandwich” configuration, with one particle on top of the substrate and another embedded inside, respectively. The results showed that Al-silica core–shell nanoparticles in a “sandwich” configuration demonstrated the most improved opto-electronic performance of solar cells when compared to the other configurations studied. These promising results can open the door for future collaborative use of Genetic Algorithm and FDTD calculations to design high sensitivity photovoltaic devices." @default.
- W4379118019 created "2023-06-03" @default.
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- W4379118019 date "2023-01-01" @default.
- W4379118019 modified "2023-09-28" @default.
- W4379118019 title "Use of Genetic Algorithm and Finite-Difference Time-Domain Calculations to Optimize “Plasmonic” Thin-Film Solar Cell Performance" @default.
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- W4379118019 doi "https://doi.org/10.1007/978-981-19-8032-9_32" @default.
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