Abstract
Abstract Deep-learning (DL) network has emerged as an important prototyping technology for the advancements of big data analytics, intelligent systems, biochemistry, physics, and nanoscience. Here, we used a DL model whose key algorithm relies on deep neural network to efficiently predict circular dichroism (CD) response in higher-order diffracted beams of two-dimensional chiral metamaterials with different parameters. To facilitate the training process of DL network in predicting chiroptical response, the traditional rigorous coupled wave analysis (RCWA) method is utilized. Notably, these T-like shaped chiral metamaterials all exhibit the strongest CD response in the third-order diffracted beams whose intensities are the smallest, when comparing up to four diffraction orders. Our comprehensive results reveal that by means of DL network, the complex and nonintuitive relations between T-like metamaterials with different chiral parameters (i. e., unit period, width, bridge length, and separation length) and their CD performances are acquired, which owns an ultrafast computational speed that is four orders of magnitude faster than RCWA and a high accuracy. The insights gained from this study may be of assistance to the applications of DL network in investigating different optical chirality in low-dimensional metamaterials and expediting the design and optimization processes for hyper-sensitive ultrathin devices and systems.
Highlights
Circular dichroism (CD) spectroscopy is one of the most successful approaches to efficiently characterize the chiroptical response of chiral materials, which measures the differential absorption between the right(RCP) and left- circularly polarized (LCP) light [12]
Our work reveals that the T-like chiral metamaterials show the strongest circular dichroism (CD) performances in the third-order diffracted beams when considering up to four diffraction order beams, the scattered intensities at third-order beams are far smaller than the second-order case
It is important to mention that the other three geometric parameters (i. e., w, ls, g) will be represented by the gold length l in what follows, leaving the unit period a in a certain proportion to l. This simplifies the investigation of the influence of unit period on the CD performance to the dependence of CD on the gold length
Summary
It has been evidenced that the immense and promising application prospects of optical chirality involve the fields of chemistry [4], life science [5], pharmaceutical synthesis [6], spectroscopy [7], spintronics [8], quantum computing [9, 10], sensitive detection and imaging [11]. Circular dichroism (CD) spectroscopy is one of the most successful approaches to efficiently characterize the chiroptical response of chiral materials, which measures the differential absorption between the right(RCP) and left- circularly polarized (LCP) light [12]. The enantiomers of chiral materials would interact differently with LCP and RCP light, determined by the structure handedness [13]. Though the chirality is an omnipresent part of nature, the chiroptical response of these natural materials is generally very weak, caused by the small electromagnetic interaction volume [14], creating difficulties in its high sensitivity detection and hindering the
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