费伯曼参数动态扩散系数对混合等离子体纳米粒子量子非局部效应的影响

Q3 Mathematics
Yu. A. Eremin, V. V. Lopushenko
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引用次数: 0

摘要

摘要 在本文中,我们考虑了由电介质内核和等离子金外壳组成的混合纳米粒子的偏振光散射问题。在半经典广义非局域光学响应(GNOR)理论框架下考虑了外壳中出现的非局域量子效应。在离散源方法(DSM)的基础上,制定并实现了一个具有动态扩散系数的 GNOR 理论数学模型。动态扩散系数是利用费伯曼量子表面参数确定的。在计算中,费伯曼参数值取自现有的实验数据。对恒定扩散系数和动态扩散系数的 GNOR 理论结果进行了比较分析。结果表明,动态扩散系数的计算结果与传统的恒定系数半经典模型的计算结果会有很大差异,尤其是在研究频域混合粒子表面附近场的行为时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the Influence of a Dynamic Diffusion Coefficient with the Feibelman Parameter on the Quantum Nonlocal Effect of Hybrid Plasmon Nanoparticles

On the Influence of a Dynamic Diffusion Coefficient with the Feibelman Parameter on the Quantum Nonlocal Effect of Hybrid Plasmon Nanoparticles

Abstract

In this paper, we consider the problem of polarized light scattering by a hybrid nanoparticle consisting of a dielectric core and plasmonic gold shell. A quantum effect of nonlocality arises in the shell, which is considered in the framework of the semiclassical generalized nonlocal optical response (GNOR) theory. Based on the discrete source method (DSM), a mathematical model of the GNOR theory with a dynamic diffusion coefficient is formulated and implemented. The dynamic diffusion coefficient is determined using the Feibelman quantum surface parameter. In the calculations, the values of the Feibelman parameter are taken from the experimental data available. A comparative analysis of the results of the GNOR theory with constant and dynamic diffusion coefficients is performed. It is established that the results obtained for the dynamic diffusion coefficient and for the traditional semiclassical model with a constant coefficient can differ significantly, especially when studying the behavior of fields near the surface of a hybrid particle in the frequency domain.

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来源期刊
Mathematical Models and Computer Simulations
Mathematical Models and Computer Simulations Mathematics-Computational Mathematics
CiteScore
1.20
自引率
0.00%
发文量
99
期刊介绍: Mathematical Models and Computer Simulations  is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.
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