非周期性布洛赫表面波传感器的鲁棒逆设计
Robust inverse design of non-periodic Bloch surface wave sensors
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中文总结 AI 辅助
针对支持布洛赫表面波的一维光子晶体传感器对制造厚度变化脆弱的问题，提出基于多目标遗传优化的鲁棒逆设计框架，证明非周期性多层膜可实现更优的灵敏度-鲁棒性权衡，为下一代BSW传感器的实际应用奠定基础。
中文摘要 AI 辅助
支持布洛赫表面波（BSW）的一维光子晶体已成为无标记折射率传感的高灵敏度平台。然而，这些传感器的实际性能受限于其对制造导致的厚度变化的脆弱性。在本文中，我们通过引入基于多目标遗传优化的鲁棒逆设计框架来应对这一挑战。该框架共同最大化强度灵敏度和对制造误差的鲁棒性，表明非周期性多层膜天生具有更优的灵敏度-鲁棒性权衡，相比传统周期性设计在设备鲁棒性上有显著提升。通过分析优化后的设计，我们揭示了一种内在补偿机制，该机制从物理上调控这种权衡并有效稳定传感器对结构扰动的响应。通过解锁非周期性多层膜的扩展设计空间，我们的优化策略为下一代BSW传感器的实际实现铺平了道路。
英文摘要
One-dimensional photonic crystals supporting Bloch surface waves (BSWs) have emerged as highly sensitive platforms for label-free refractometric sensing. However, the practical performance of these sensors is limited by their vulnerability to fabrication-induced thickness variations. In this Letter, we address this challenge by introducing a robust inverse design framework based on multi-objective genetic optimization. This framework jointly maximizes intensity sensitivity and resilience against manufacturing errors, demonstrating that non-periodic multilayers achieve inherently superior sensitivity-robustness trade-offs, with a pronounced gain in device resilience over conventional periodic designs. By analyzing the optimized designs, we uncover an intrinsic compensation mechanism that physically governs the trade-off and effectively stabilizes the sensor response against structural perturbations. By unlocking the expanded design space of non-periodic multilayers, our optimization strategy paves the way for the practical realization of next-generation BSW sensors.
