The plasmon “hot spot” has drawn immense research attention in the areas of surface-enhanced spectroscopy, ultrafast optical switching, and nanophotonics. However, as a typical complex system, fluctuations caused by randomness and disorder make it difficult even impossible to accurately describe and predict the local electric field enhancement behavior of hot spots, therefore seriously hindering it from the laboratory to move toward practical application. Based on the Monte Carlo algorithm, a three-dimensional multi-hot spot model was constructed to theoretically investigate the influence of multiple random factors on the fluctuations of electric field intensity. We found that fluctuations can be effectively suppressed once hot spot density exceeds a threshold value, which means that plasmon performance of complex nanostructures with randomness can be accurately predicted. These theoretical results are confirmed by our preliminary surface-enhanced Raman scattering experiments. Our work promotes the fundamental understanding of the interplay of disorder and local electric field fluctuations in surface plasmon resonance complex systems and would provide a new way for plasmon-enhanced spectroscopy techniques to enable precise quantitative analyses.

中文翻译：

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等离子增强光谱定量评价的统计策略

等离子体“热点”在表面增强光谱学、超快光开关和纳米光子学领域引起了巨大的研究关注。然而，作为一个典型的复杂系统，其随机性和无序性所引起的波动使得热点的局部电场增强行为难以准确描述和预测，从而严重阻碍了其从实验室走向实际应用。基于蒙特卡罗算法，构建三维多热点模型，从理论上研究多个随机因素对电场强度波动的影响。我们发现一旦热点密度超过阈值，波动可以得到有效抑制，这意味着可以准确预测具有随机性的复杂纳米结构的等离子体性能。我们初步的表面增强拉曼散射实验证实了这些理论结果。我们的工作促进了对表面等离子共振复杂系统中无序和局部电场波动相互作用的基本理解，并将为等离子增强光谱技术提供一种新方法，以实现精确的定量分析。