Suppr超能文献

任意形状夹杂物去极化因子的有限元模拟

Finite-element simulation of the depolarization factor of arbitrarily shaped inclusions.

作者信息

Mejdoubi Abdelilah, Brosseau Christian

机构信息

Laboratoire d'Electronique et Systèmes de Télécommunications, Université de Bretagne Occidentale, CS 93837, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Sep;74(3 Pt 1):031405. doi: 10.1103/PhysRevE.74.031405. Epub 2006 Sep 26.

Abstract

An understanding of the polarization characteristics is a prevailing issue in electrostatics and scattering theory and is also vital to the rational design of future dielectric nanostructures. In this work, a finite-element methodology has been applied to simulate two-phase heterostructures containing a polarizable dielectric inclusion. The inclusions investigated can be considered as arbitrarily shaped cross sections of infinite three-dimensional objects, where the properties and characteristics are invariant along the perpendicular cross-sectional plane. Given the paucity of experimental and numerical data, we set out to systematically investigate the trends that shape and permittivity contrast between the inclusion and the host matrix have on the depolarization factor (DF). The effect of the first-versus second-order concentration virial coefficient on the value of the DF is considered for a variety of inclusion shapes and a large set of material properties. Our findings suggest that the DF for such inclusions is highly tunable depending on the choice of these parameters. These results can provide a useful insight for the design of artificial two-phase heterostructures with specific polarization properties.

摘要

对极化特性的理解是静电学和散射理论中的一个普遍问题,对于未来介电纳米结构的合理设计也至关重要。在这项工作中,已应用有限元方法来模拟包含可极化介电夹杂物的两相异质结构。所研究的夹杂物可被视为无限三维物体的任意形状横截面,其特性沿垂直横截面平面不变。鉴于实验和数值数据的匮乏,我们着手系统地研究夹杂物与主体基质之间的形状和介电常数对比度对退极化因子(DF)的影响趋势。对于各种夹杂物形状和大量材料特性,考虑了一阶与二阶浓度维里系数对DF值的影响。我们的研究结果表明,此类夹杂物的DF根据这些参数的选择可高度调节。这些结果可为设计具有特定极化特性的人工两相异质结构提供有用的见解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验