多功能智能超材料计算系统:独立并行模拟信号处理

IF 3.7 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Photonics Research Pub Date : 2024-07-10 DOI:10.1002/adpr.202400002
Javad Shabanpour
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引用次数: 0

摘要

基于微型表面的模拟计算因其高速、低功耗的数学运算而备受关注。在最近取得的进展基础上,我们提出了一种各向异性时空数字元面,用于并行和可编程的基于波的数学运算。利用频率转换,我们的元面可执行一阶和二阶空间微分、积分微分方程以及空间编码图像的锐边检测。元粒子的各向异性使其能够同时对两个正交极化进行独立操作。可重构性是通过氧化铟锡层的可调栅偏压实现的。举例说明表明,元表面的输出信号和传递函数与理想的传递函数非常接近,证实了它的多功能性和有效性。与其他基于波的信号处理器不同,该设计可处理宽空间频率带宽,甚至是高空间频率输入。
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Multifunctional Intelligent Metamaterial Computing System: Independent Parallel Analog Signal Processing

Analog computing based on miniaturized surfaces has gained attention for its high-speed and low-power mathematical operations. Building on recent advances, an anisotropic space-time digital metasurface for parallel and programmable wave-based mathematical operations is proposed. Using frequency conversions, our metasurface performs 1st-order and 2nd-order spatial differentiations, integrodifferential equations, and sharp edge detection in spatially encoded images. The anisotropic nature of the meta-particle enables independent and simultaneous operations for two orthogonal polarizations. Reconfigurability is achieved through tunable gate biasing of an indium tin oxide layer. Illustrative examples demonstrate that the metasurface's output signals and transfer functions closely match ideal transfer functions, confirming its versatility and effectiveness. Unlike other wave-based signal processors, the design handles wide spatial frequency bandwidths, even with high spatial frequency inputs.

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