Novel computational design of high refractive index nanocomposites and effective refractive index tuning based on nanoparticle morphology effect
Novel computational design of high refractive index nanocomposites and effective refractive index tuning based on nanoparticle morphology effect
复制标题
DOI：
10.1016/j.compositesb.2021.109128
复制
发表时间：
2021-10
影响因子：
13.1
通讯作者：
Sipan Liu;Didarul Islam;Z. Ku;D. Boyd;Yaxu Zhong;A. Urbas;Evan M. Smith;J. Derov;V. Nguyen
中科院分区：
文献类型：
--
作者：
Sipan Liu;Didarul Islam;Z. Ku;D. Boyd;Yaxu Zhong;A. Urbas;Evan M. Smith;J. Derov;V. Nguyen
本文介绍了一种基于法布里-珀罗干涉的有限元法预测纳米复合材料折射率的方法。通过将估计的复合材料的RI与文献中的可用数据进行比较来验证功效。在实验验证中，基于有限元分析的预测显示出更接近的结果与测量相比，有效介质近似（EMA）的方法，这是prepared用于预测纳米复合材料的物理性能。由于建模能力，FEA方法可以研究纳米颗粒形态（粒度，形状和取向）和分布的影响。大粒径颗粒、颗粒在高电场幅值区的团聚以及颗粒沿光振荡方向的沿着伸长是提高复合材料折射率的主要因素。折射率变化的基本机制是由于嵌入的纳米颗粒的光散射，这提供了一个潜在的实时折射率调谐示意图。
This study introduces a method to predict the refractive index (RI) of nanocomposites with the Finite Elements Analysis (FEA) based on the Fabry-Pérot interference. The efficacy was verified by comparing the estimated composites’ RI with the available data in the literature. In the experimental verification, the FEA-based prediction showed closer results with the measurement as compared to the effective medium approximation (EMA) approaches, which are prevalently used to predict the physical properties of nanocomposites. Due to the modeling capability, the FEA-method could investigate the effect of the nanoparticle morphology (particle size, shape, and orientation) and distribution. Large particle size, particle agglomeration in high electric-field amplitude region, and particle elongation along the light oscillating direction are found to be the major factors to enhance the RI of composites. The underlying mechanism of RI changing is attributed to the light scattering by embedded nanoparticles, which provides one potential real-time RI tuning schematic.