Structural optimization of silicon thin film for thermoelectric materials
Abstract The method to optimize nanostructures of silicon thin films as thermoelectric materials is developed. The simulated annealing method is utilized for predicting the optimized structure. The mean free path and thermal conductivity of thin films, which are the objective function of optimizatio...
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Nature Portfolio
2021
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oai:doaj.org-article:fa1a897f237345d49b460e8277d9770c2021-11-28T12:19:20ZStructural optimization of silicon thin film for thermoelectric materials10.1038/s41598-021-01855-62045-2322https://doaj.org/article/fa1a897f237345d49b460e8277d9770c2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01855-6https://doaj.org/toc/2045-2322Abstract The method to optimize nanostructures of silicon thin films as thermoelectric materials is developed. The simulated annealing method is utilized for predicting the optimized structure. The mean free path and thermal conductivity of thin films, which are the objective function of optimization, is evaluated by using phonon transport simulations and lattice dynamics calculations. In small systems composed of square lattices, the simulated annealing method successfully predicts optimized structure corroborated by an exhaustive search. This fact indicates that the simulated annealing method is an effective tool for optimizing nanostructured thin films as thermoelectric materials.Takuma HoriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Takuma Hori Structural optimization of silicon thin film for thermoelectric materials |
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Abstract The method to optimize nanostructures of silicon thin films as thermoelectric materials is developed. The simulated annealing method is utilized for predicting the optimized structure. The mean free path and thermal conductivity of thin films, which are the objective function of optimization, is evaluated by using phonon transport simulations and lattice dynamics calculations. In small systems composed of square lattices, the simulated annealing method successfully predicts optimized structure corroborated by an exhaustive search. This fact indicates that the simulated annealing method is an effective tool for optimizing nanostructured thin films as thermoelectric materials. |
format |
article |
author |
Takuma Hori |
author_facet |
Takuma Hori |
author_sort |
Takuma Hori |
title |
Structural optimization of silicon thin film for thermoelectric materials |
title_short |
Structural optimization of silicon thin film for thermoelectric materials |
title_full |
Structural optimization of silicon thin film for thermoelectric materials |
title_fullStr |
Structural optimization of silicon thin film for thermoelectric materials |
title_full_unstemmed |
Structural optimization of silicon thin film for thermoelectric materials |
title_sort |
structural optimization of silicon thin film for thermoelectric materials |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/fa1a897f237345d49b460e8277d9770c |
work_keys_str_mv |
AT takumahori structuraloptimizationofsiliconthinfilmforthermoelectricmaterials |
_version_ |
1718408116044824576 |