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银纳米线网络的折射率:从实验到理论,一种对光学常数基础的启发式方法。

The refractive index of silver nanowire networks: a heuristic approach to the foundations of the optical constants, from experiment to theory.

作者信息

Baret Amaury, Baumgarten Julia, Balty François, Rabecki Frédéric, Brisbois Jérémy, Zheng Buyun, Bellet Daniel, Nguyen Ngoc Duy

机构信息

SPIN, Department of Physics, University of Liège, Allée du Six Août, Liège, 4000, Belgium.

EPNM, Department of Physics, University of Liège, Allée du Six Août, Liège, 4000, Belgium.

出版信息

Discov Nano. 2025 Aug 8;20(1):131. doi: 10.1186/s11671-025-04312-9.

DOI:10.1186/s11671-025-04312-9
PMID:40775554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12331564/
Abstract

This study employs Mie's scattering theory and van de Hulst's mixing model to predict the refractive indices (n, k) of silver nanowire (AgNW) networks in the visible and near-infrared wavelengths, allowing the comparison to the experimentally determined k spectra. Transmittance spectra calculated via the numerical resolution of Fresnel's equations are compared to experimental data, showing excellent agreement, particularly for nanowires with larger diameters and at shorter wavelengths. These findings, both theoretical and empirical, pave the way for accurate optical simulations of metallic nanowire networks, supporting their integration into complex multilayer systems and devices such as displays or smart windows. Notably, our work proposes the first demonstration of the dominance of the metallic character of AgNW networks over their dielectric behavior in terms of optical response.

摘要

本研究采用米氏散射理论和范德胡尔斯混合模型来预测银纳米线(AgNW)网络在可见光和近红外波长下的折射率(n,k),以便与实验测定的k光谱进行比较。通过菲涅耳方程的数值求解计算出的透射光谱与实验数据进行了比较,结果显示出极佳的一致性,特别是对于直径较大的纳米线以及较短波长的情况。这些理论和实证研究结果为金属纳米线网络的精确光学模拟铺平了道路,有助于将其集成到诸如显示器或智能窗户等复杂的多层系统和器件中。值得注意的是,我们的工作首次证明了在光学响应方面,AgNW网络的金属特性优于其介电行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/2e8eea7746f1/11671_2025_4312_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/5e67d07560f1/11671_2025_4312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/7168c1117f5f/11671_2025_4312_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/f94ed6bb5a6e/11671_2025_4312_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/9842c9e7ac14/11671_2025_4312_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/2e8eea7746f1/11671_2025_4312_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/5e67d07560f1/11671_2025_4312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/7168c1117f5f/11671_2025_4312_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/f94ed6bb5a6e/11671_2025_4312_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/9842c9e7ac14/11671_2025_4312_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4647/12331564/2e8eea7746f1/11671_2025_4312_Fig5_HTML.jpg

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Nanoscale. 2024 May 2;16(17):8361-8368. doi: 10.1039/d3nr05850f.
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Exploring the degradation of silver nanowire networks under thermal stress by coupling X-ray diffraction and electrical resistance measurements.
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