Shape dependent EMA model of nanostructured anisotropic materials
Loading...
Downloads
0
Date issued
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
License
Abstract
Heterogeneous nanostructures containing nanoparticles of various sizes and shapes have attracted significant attention in the development of nano-biosensors. Especially, plasmonic properties of such materials are advantageously exploited for the detection of biological and chemical substances. Since these media exhibit optical anisotropy, a valid homogenization procedure must be able to describe appropriately the relationship between the geometry of the inclusions and the nature of local field modes. We present a model approach for extension of the effective medium approximation (EMA) and its application to anisotropic nanostructures. The proposed model is based on a "strong-couple-dipole" (SCD) method including a volume-integral correction term in a Green tensor that enables to obtain more accurate representation of polarizability tensor. Derived depolarization factors for discs and bi-cone particles are compared with the early known shapes (spheroids, cylinders) and applied to nanostructures composed of the Fe or Au nanodots in polyacrylate.
Description
Subject(s)
Citation
Nanomaterials. 2019, vol. 9, issue 10, art. no. 1380.
Item identifier
Collections
Publikační činnost VŠB-TUO ve Web of Science / Publications of VŠB-TUO in Web of Science
OpenAIRE
Publikační činnost Centra nanotechnologií / Publications of Nanotechnology Centre (9360)
Publikační činnost Katedry matematiky a deskriptivní geometrie / Publications of Department of Mathematics and Descriptive Geometry (310)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals
OpenAIRE
Publikační činnost Centra nanotechnologií / Publications of Nanotechnology Centre (9360)
Publikační činnost Katedry matematiky a deskriptivní geometrie / Publications of Department of Mathematics and Descriptive Geometry (310)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals