Inverse-designed Metamaterials for On-chip Combinational Optical Logic Circuit

Tan, Qingze; Qian, Chao; Chen, Hongsheng

doi:10.2528/pier22091502

Cited by 24 publications

(7 citation statements)

References 25 publications

(26 reference statements)

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“…Furthermore, we expect that the concept of the knowledge-inherited network demonstrated here could be deployed in many application areas where machine learning is used, with compelling applications throughout, including plasmonic structures, photonic circuits, imaging recognition, biomedicine, and quantum computing 33 – 38 . For example, thus far, optical technologies have mainly used photonic optimization in a restricted design space, largely limiting the structural topology/geometry and shape 3 .…”

Section: Discussionmentioning

confidence: 99%

A knowledge-inherited learning for intelligent metasurface design and assembly

et al. 2023

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Recent breakthroughs in deep learning have ushered in an essential tool for optics and photonics, recurring in various applications of material design, system optimization, and automation control. Deep learning-enabled on-demand metasurface design has been the subject of extensive expansion, as it can alleviate the time-consuming, low-efficiency, and experience-orientated shortcomings in conventional numerical simulations and physics-based methods. However, collecting samples and training neural networks are fundamentally confined to predefined individual metamaterials and tend to fail for large problem sizes. Inspired by object-oriented C++ programming, we propose a knowledge-inherited paradigm for multi-object and shape-unbound metasurface inverse design. Each inherited neural network carries knowledge from the “parent” metasurface and then is freely assembled to construct the “offspring” metasurface; such a process is as simple as building a container-type house. We benchmark the paradigm by the free design of aperiodic and periodic metasurfaces, with accuracies that reach 86.7%. Furthermore, we present an intelligent origami metasurface to facilitate compatible and lightweight satellite communication facilities. Our work opens up a new avenue for automatic metasurface design and leverages the assemblability to broaden the adaptability of intelligent metadevices.

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Section: Discussionmentioning

confidence: 99%

A knowledge-inherited learning for intelligent metasurface design and assembly

et al. 2023

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“…Overall, the proposed spatial multiplexing encryption framework opens up new possibilities for secure and efficient information encryption. It provides a solid foundation for further research and development in the field of optical encryption, offering opportunities for advancements in both theory and practical applications [39][40][41][42][43].…”

Section: Discussionmentioning

confidence: 99%

Spatial multiplexing encryption with cascaded metasurfaces

Fan,

Jia,

Chen

et al. 2023

J. Opt.

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Recent years have witnessed rapid progresses in information encryption by harnessing different dimensions of light, yet, pushing the capacity of encrypted information is an endless goal. Meta-holographic encryption introduces an efficient method in optical information encryption. Here, we propose a spatial multiplexing encryption technique using cascaded metasurfaces, allowing multiple users to simultaneously access independent encryption information. By employing cascaded metasurfaces, cipher images and corresponding decryption keys can be transferred to unique spatial hologram coordinates for each user, ensuring secure identification of encrypted information. We demonstrate the feasibility of six encrypted channels and analyse the sensitivity to holography spatial location, revealing a low correlation among different channels. Our findings highlight the potential of cascaded metasurfaces in spatial multiplexing encryption, paving the way for high-volume optical information encryption.

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“…Considering the nonlocal effect and complex internal scattering, we utilize the global inverse design strategy to build up the connection between the metasurface cloak and its EM response. [34][35][36][37][38][39][40][41] Compared with conventional local inverse design, the global inverse design for a whole meta-device would be extremely essential but remains challenging, from data augmentation to algorithm modeling. Here our work aims to push the limits of metasurface cloak by using global inverse design, taking nonlocal effect and complex internal scattering into consideration.…”

Section: Introductionmentioning

confidence: 99%

Pushing the Limits of Metasurface Cloak Using Global Inverse Design

Jia

Qian

et al. 2023

Advanced Optical Materials

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formation optics render an object invisible by guiding the flow of light around the hidden object without disturbance to the internal region. [2][3][4][5][6] The underlying physics is attributed to the form invariance of Maxwell's equations: a coordinate transformation can squeeze normal free space from a volume into a shell, only with volumetric constitutive parameters and electromagnetic (EM) fields. Not only in electromagnetics, but transformation optics have also thus far been evolved into a fashionable tool in the realm of sound, heat flow, water waves, and so on. In theory, this method is perfect; however, in an experiment, it is hampered by the bulky material compositions with both anisotropy and inhomogeneity. Substantial efforts have been devoted to mitigating the requirements, such as bilinear transformation optics without singularities and quasi-conformal transformations for ground-plane cloak. [7][8][9][10][11][12][13] Yet, these tradeoffs also impair the cloaking performance to some extend and make the application scenario become more specific.Metasurface cloak is another kind of cloaking methodology that develops contemporaneously. [14][15][16] By adding a layer of deliberately-designed metasurfaces over a hidden region or object, the scattered field can be reconstructed to be similar to that of the pure background, as if there were no region or object. [17][18][19][20][21] Compared with a bulky metamaterial cloak, a metasurface cloak has the distinct advantages of negligible thickness, easy fabrication, and low loss, ushering it popularity in both academia and industry. [22][23][24][25][26] The last several years have seen enormous progress to demonstrate metasurface cloak across different spectra and generalize it from reflection to transmission geometries. [27] Moreover, by incorporating active components and intelligent algorithms, it is promising to transform conventional static cloaking modality to dynamic cloaking that can self-direct to ever-changing external stimuli and environment. [28,29] These advancements are highly demanded for a multitude of practical applications involving moving objects and dynamic environments.Although the current arsenal of design techniques provides enormous capability, metasurface cloak, as well as other cloaking strategies, suffers from some inherent limitations that need to be lifted or pushed, [15] as schematically illustrated in Figure 1a. First, we notice that almost all previous metasurface cloaks have been demonstrated in a convex shape. [19,22,30] The breakthroughs of transformation optics and metamaterials have kickstarted the study of modern invisibility cloak since the beginning of this century. Many cloaking methodologies have been progressively proposed for specific application scenarios, among which metasurface cloak is largely welcomed owing to its salient features of negligible thickness, easy fabrication, and low loss. Similar to other cloaking methodologies, however, metasurface cloak suffers from inherent limits that impair it to a convex shap...

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Inverse-designed Metamaterials for On-chip Combinational Optical Logic Circuit

Cited by 24 publications

References 25 publications

A knowledge-inherited learning for intelligent metasurface design and assembly

A knowledge-inherited learning for intelligent metasurface design and assembly

Spatial multiplexing encryption with cascaded metasurfaces

Pushing the Limits of Metasurface Cloak Using Global Inverse Design

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