Accurate thermoplasmonic simulation of metallic nanoparticles
Accurate thermoplasmonic simulation of metallic nanoparticles
复制标题
金属纳米粒子的精确热等离子体模拟
DOI：
10.1016/j.jqsrt.2016.09.007
复制
发表时间：
2017-01-01
影响因子：
2.3
通讯作者：
Sheng, Xin-Qing
中科院分区：
文献类型：
--
作者：
Yu, Da-Miao;Liu, Yan-Nan;Sheng, Xin-Qing
热等离子体激元由于局部表面等离子体激元共振而导致增强的热生成。发热量的测量从根本上说是一项复杂的任务，这需要理论模拟技术的发展。在本文中，提出了一个高效和准确的数值方案的应用与复杂的金属纳米结构。光吸收和温度增加，分别通过求解体积积分方程（VIE）和稳态热扩散方程通过矩量法（MoM）得到。以前，基于表面积分方程（SIE）的方法被用来获得光吸收。然而，从等效电流计算光吸收是昂贵的O（NsNv），其中N-s和N-v，分别表示表面和体积未知数的数量。我们的方法通过使用VIE将成本降低到O（N-v）。通过多次仿真验证了该方案的精度、效率和性能。仿真结果表明，我们提出的方法是更有效的比基于SIEs的方法在可比的精度，特别是对于许多事件的兴趣的情况下。模拟还表明，温度分布可以通过多种因素来调节，如阵列的几何结构，光束方向和光波长。(C)2016爱思唯尔有限公司版权所有
Thermoplasmonics leads to enhanced heat generation due to the localized surface plasmon resonances. The measurement of heat generation is fundamentally a complicated task, which necessitates the development of theoretical simulation techniques. In this paper, an efficient and accurate numerical scheme is proposed for applications with complex metallic nanostructures. Light absorption and temperature increase are, respectively, obtained by solving the volume integral equation (VIE) and the steady-state heat diffusion equation through the method of moments (MoM). Previously, methods based on surface integral equations (SIEs) were utilized to obtain light absorption. However, computing light absorption from the equivalent current is as expensive as O(NsNv), where N-s and N-v, respectively, denote the number of surface and volumetric unknowns. Our approach reduces the cost to O(N-v) by using VIE. The accuracy, efficiency and capability of the proposed scheme are validated by multiple simulations. The simulations show that our proposed method is more efficient than the approach based on SIEs under comparable accuracy, especially for the case where many incidents are of interest. The simulations also indicate that the temperature profile can be tuned by several factors, such as the geometry configuration of array, beam direction, and light wavelength. (C) 2016 Elsevier Ltd. All rights reserved.