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通过使用先进的进化神经网络算法设计的新型微循环日志周期天线进行超级太赫兹辐射检测

Rui Zhou¹, Jiaqi Wang¹, Zhemiao Xie¹

¹Advanced Micro-/Nano- Devices Lab, Department of Systems Design Engineering, University of Waterloo, Waterloo, N2L3G1, Canada.

Microsystems & nanoengineering

|August 19, 2025

概括

我们使用进化神经网络 (ENN) 开发了一种微循环日志周期天线 (MCLPA),用于增强的太赫兹 (THz) 检测. 这种新的天线设计提供了超宽带宽和高效率,提高了THz传感能力.

科学领域:

电磁学和应用物理学
天线工程天线工程
特拉赫兹技术的技术.

背景情况:

太赫兹 (THz) 辐射检测需要高度敏感和高效的天线系统.
传统的天线设计方法可能耗时,并且可能无法实现特定应用的最佳性能.
人工智能在电磁设计中的整合是提高性能的一个新兴领域.

研究的目的:

引入一种使用先进进化的进化神经网络 (ENN) 算法优化的新型微循环日志周期天线 (MCLPA).
提高天线对太赫兹 (THz) 辐射检测的效率和性能.
通过将算法智能与结构创新的整合来展示天线设计的新范式.

主要方法:

开发一个微循环日志周期天线 (MCLPA) 结构.
使用先进的进化神经网络 (ENN) 算法优化MCLPA设计.
设计天线的广泛的电磁特性和性能分析.

主要成果:

拟议的MCLPA实现了372 GHz (0.135-0.507 THz) 的超宽操作带宽.
关键性能指标包括5.51dBi的峰值增益,13.68dB的S₁₁和82.39%的辐射效率.
该天线表现出卓越的灵敏度,低噪音易感性,以及对THz检测至关重要的快速响应时间.

结论:

优化为ENN的MCLPA在THz天线工程方面取得了重大突破,提供了卓越的性能.
集成ENN加快了设计时间,并降低了开发先进THz系统的成本.
这种方法为下一代THz检测和通信系统设定了新的基准.

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