Figure | Schematics of the machine learning aided meta-absorber. (IMAGE)
Caption
Figure | Schematics of the machine learning aided meta-absorber. a, an illustrative view of the proposed meta-absorber, which consists of four concentric silver nanorings on top of an amorphous silicon layer of thickness only 20 nm, acting as the active part. A silver reflector at the bottom acts as a mirror. b, Schematics of the response predicting network (RPN) and inverse design predicting network (DPN) with both training and validation of these networks. c, Three-dimensional atomic force microscopy (AFM) image showing the morphology of the silver nanoring array fabricated experimentally for characterization. d, Machine learning based optimization of the concept, left panel: Statistical distribution of the efficiency of the absorber shown here with different spacer thickness; right panel: Enhanced broadband absorption computed via several methods, compared to a reference planar structure, showing the enhanced and broadband capabilities, optimized via ML.
Credit
by Waqas W. Ahmed et al.
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Credit must be given to the creator.
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CC BY