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按需定制增强光子旋转霍尔效应的定制

Yu Xue, Hongyu Chen, Jixing Zeng

|September 16, 2025

概括

研究人员开发了一种Al-Si超表面和Bi-LSTM模型,用于可定制的光子旋转霍尔效应 (PSHE) 增强. 这种方法允许在几乎任意的条件下对PSHE进行按需控制,克服了以前的限制.

科学领域:

光子学是一个光子学.
在Metasurfaces上使用.
人工智能的人工智能

背景情况:

光子自旋霍尔效应 (PSHE) 对于精密测量,纳米光子学和量子信息的应用至关重要.
以前的PSHE增强方法受到特定事件角度,波长和偏振的限制,阻碍了按需定制.

研究的目的:

提出一个Al-Si混合介电超表面和一个Bi-LSTM神经网络,以对PSHE增强进行按需定制.
克服现有的PSHE增强技术在事件参数方面的局限性.

主要方法:

设计了一种Al-Si混合介电超表面,能够在广泛的事件参数中操纵通用布鲁斯特效应 (GBE).
采用双向长期短期记忆 (Bi-LSTM) 神经网络来预测PSHE属性 (反射率,相位差异,横移).
将Bi-LSTM模型与选算法 (SE) 集成,用于实时,按需定制PSHE增强,而不存在非独特性问题.

主要成果:

拟议的超表面允许灵活操纵GBE,打破PSHE增强的限制.
该Bi-LSTM模型准确地根据地表结构参数预测PSHE特征.
在几乎任意的条件下实现了实时,按需定制PSHE增强.

结论:

该研究提出了一种灵活的方法,用于在不同条件下增强PSHE.
开发的AI驱动方法提供了一个强大的工具,用于为特定应用量身定制PSHE性能.

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