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亚波长器件的稳健性:以耳蜗启发式彩虹传感器为例的研究

Robustness of subwavelength devices: a case study of cochlea-inspired rainbow sensors.

作者信息

Davies Bryn, Herren Laura

机构信息

Department of Mathematics, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK.

Department of Statistics and Data Science, Yale University, New Haven, CT 06511, USA.

出版信息

Proc Math Phys Eng Sci. 2022 Jun;478(2262):20210765. doi: 10.1098/rspa.2021.0765. Epub 2022 Jun 1.

Abstract

We derive asymptotic formulae describing how the properties of subwavelength devices are changed by the introduction of errors and imperfections. As a demonstrative example, we study a class of cochlea-inspired rainbow sensors. These are graded metamaterials which have been designed to mimic the frequency separation performed by the cochlea. The device considered here has similar dimensions to the cochlea and has a resonant spectrum that falls within the range of audible frequencies. We show that the device's properties (including its role as a signal filtering device) are stable with respect to small imperfections in the positions and sizes of the resonators. Additionally, under suitable assumptions, if the number of resonators is sufficiently large, then the device's properties are stable under the removal of a resonator.

摘要

我们推导了渐近公式,描述了引入误差和缺陷如何改变亚波长器件的特性。作为一个示范例子,我们研究了一类受耳蜗启发的彩虹传感器。这些是渐变超材料,其设计目的是模仿耳蜗进行的频率分离。这里考虑的器件尺寸与耳蜗相似,并且具有落在可听频率范围内的共振光谱。我们表明,该器件的特性(包括其作为信号滤波器件的作用)对于谐振器位置和尺寸的小缺陷是稳定的。此外,在适当的假设下,如果谐振器的数量足够大,那么在移除一个谐振器时该器件的特性是稳定的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4b8/9185833/7840d764902a/rspa20210765f01.jpg

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