Cost‐Effective Nanophotonic Metasurfaces with Spatially Gradient Structures for Ultrasensitive Imaging‐Based Refractometric Sensing

Li, Guohua; Wen, Baohua; Yang, Ji; Wu, Mingxi; Zhou, Bin; Ye, Xiangyi; Tang, Hao; Zhou, Jianhua; Cai, Jingxuan

doi:10.1002/smtd.202300873

Cited by 3 publications

(1 citation statement)

References 36 publications

(36 reference statements)

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“…(2) Perspectives and possible future research for metasurface-based chemical sensors and biosensors (see e.g., [406]) include the works on their applicability in rapid multianalyte sensing systems assisted by AI [407], thus ensuring at the same time vastly increased selectivity and readout speed. Another important current field of practical work is sensor cost reduction [408]. A wide topic of current research is materials convenient for biosensors.…”

Section: Perspectives (Possible Research Directions To Overcome Chall...mentioning

confidence: 99%

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Jakšić

2024

Photonics

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The interplay between two paradigms, artificial intelligence (AI) and optical metasurfaces, nowadays appears obvious and unavoidable. AI is permeating literally all facets of human activity, from science and arts to everyday life. On the other hand, optical metasurfaces offer diverse and sophisticated multifunctionalities, many of which appeared impossible only a short time ago. The use of AI for optimization is a general approach that has become ubiquitous. However, here we are witnessing a two-way process—AI is improving metasurfaces but some metasurfaces are also improving AI. AI helps design, analyze and utilize metasurfaces, while metasurfaces ensure the creation of all-optical AI chips. This ensures positive feedback where each of the two enhances the other one: this may well be a revolution in the making. A vast number of publications already cover either the first or the second direction; only a modest number includes both. This is an attempt to make a reader-friendly critical overview of this emerging synergy. It first succinctly reviews the research trends, stressing the most recent findings. Then, it considers possible future developments and challenges. The author hopes that this broad interdisciplinary overview will be useful both to dedicated experts and a general scholarly audience.

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Section: Perspectives (Possible Research Directions To Overcome Chall...mentioning

confidence: 99%

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Jakšić

2024

Photonics

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Reconfigurable Snapshot Hyperspectral Imaging Sensor Based on Monochromatic Pattern Match of Gradient Geometry Metasurface

Yang,

Ye,

Liao

et al. 2024

ACS Photonics

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Ultrasensitive refractometric sensing via centimeter-scale metasurfaces with spatially gradient geometry generated by elastomer mechanical stretching

Wen,

Yang,

Liao

et al. 2024

Opt. Express

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Plasmonic metasurfaces with gradient geometry are emerging two-dimensional optical elements with unique capabilities, such as manipulating light by imparting local, space-variant phase changes to an incident electromagnetic wave, eliminating the chromatic aberration. However, the costly and time-consuming fabrication process and the requirement of sophisticated optical characterization instruments restrict practical applications of plasmonic metasurfaces. Herein, we present a novel nanofabrication method to generate centimeter-scale metasurface with spatially gradient geometry over the whole metasurface by directional stretching of a trapezoid elastic carrier patterned with regular metallic nanostructures. This strategy eases the requirement of time-consuming and expensive lithographic techniques in conventional methods. The spatially gradient plasmonic metasurface exhibit variable transmittances under monochromatic and polar light illumination, resulting in grayscale patterns with different transmittance intensity distributions. An ultrahigh imaging-based sensitivity of 1495 pixel/refractive index unit (RIU) and a detection limit of 0.00068 RIU can be achieved based on the spatially gradient plasmonic metasurface, which is superior to the performance of the regular metasurface before stretching. This novel strategy is expected to be promising for fabrication of gradient metasurfaces to be employed in many fields of nanophotonics.

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Cost‐Effective Nanophotonic Metasurfaces with Spatially Gradient Structures for Ultrasensitive Imaging‐Based Refractometric Sensing

Cited by 3 publications

References 36 publications

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Reconfigurable Snapshot Hyperspectral Imaging Sensor Based on Monochromatic Pattern Match of Gradient Geometry Metasurface

Ultrasensitive refractometric sensing via centimeter-scale metasurfaces with spatially gradient geometry generated by elastomer mechanical stretching

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