2022
DOI: 10.1038/s41598-022-14509-y
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Ultra-broadband, wide-angle plus-shape slotted metamaterial solar absorber design with absorption forecasting using machine learning

Abstract: Energy utilization is increasing day by day and there is a need for highly efficient renewable energy sources. Solar absorbers with high efficiency can be used to meet these growing energy demands by transforming solar energy into thermal energy. Solar absorber design with highly efficient and Ultra-broadband response covering visible, ultraviolet, and near-infrared spectrum is proposed in this paper. The absorption response is observed for three metamaterial designs (plus-shape slotted design, plus-shape desi… Show more

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Cited by 26 publications
(5 citation statements)
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“…These algorithms have a well-established history in the design of various metasurfaces and are recognized for their exceptional prediction capabilities, as evidenced in prior studies. 47–51 In this rigorous comparative validation, all algorithms utilized identical training and test datasets, and hyperparameters optimization was performed via grid search during training to maximize their performance.…”
Section: Analyze and Discussion Of The Resultsmentioning
confidence: 99%
“…These algorithms have a well-established history in the design of various metasurfaces and are recognized for their exceptional prediction capabilities, as evidenced in prior studies. 47–51 In this rigorous comparative validation, all algorithms utilized identical training and test datasets, and hyperparameters optimization was performed via grid search during training to maximize their performance.…”
Section: Analyze and Discussion Of The Resultsmentioning
confidence: 99%
“…To verify the superiority of RF in absorption bandwidth prediction, linear regression (LR), support vector machine (SVM), least squares (LS) method, and k-nearest neighbor (KNN) were used to train and predict the absorption bandwidth. These algorithms, as classical ML algorithms, have been shown to have good accuracy for solar cell absorption spectrum prediction, 49,50 spectral classification, 51,52 device parameter optimization, 53 etc. Before testing the other algorithmic models, we first performed a grid search of the hyperparameters of each algorithmic model to ensure that they were optimal.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, when the modulating signals are time-varying, the reflecting waves can be controlled in the frequency domain. Recently, the metasurface shows a tendency for multidisciplinary intersection, according to some of the latest research results [ 90 , 269 , 270 , 271 , 272 , 273 , 274 , 275 ].…”
Section: The Development In the Futurementioning
confidence: 99%