My Account | Careers | Downloads | Blog

PROJECT TITLE :

Spectral Solution for Scattering Analysis of Periodic Plasmonic Nano-antennas on Iso/Anisotropic Substrate

ABSTRACT:

A fast answer for the scattering analysis of periodic plasmonic nano-antennas (PPNAs) on iso/anisotropic substrates is presented. This methodology is predicated on derivation of the spectral dyadic Inexperienced's operate with taking into account the plasmonic effects. The obtained dyadic Green's function is then used in an integral equation formulated for computing the induced surface current densities on the PPNAs. The resultant integral equation is solved by suggests that of Galerkin's Technique of Moments with entire-domain basis and take a look at functions. With the help of this computational technique, the scattering characteristics of several examples are analyzed. The computed results are validated by suggests that of a full-wave EM solver primarily based on finite component technique. For showing the potency of this technique, the convergence rate and computation time in terms of area harmonic orders are calculated. It is shown that the developed methodology is an economical and speedy technique for the analysis of such periodic plasmonic structures. Additionally, we tend to study an array of PPNAs on a uniaxial anisotropic substrate where the scattering characteristics are calculated as a perform of the optic-axis direction. It is found that using anisotropic materials as the substrate of PPNAs allows further degrees of freedom for controlling the scattering information.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Unsupervised Spectral Feature Selection with Dynamic Hyper-graph Learning ABSTRACT: In order to produce interpretable and discriminative results from unsupervised spectral feature selection (USFS) methods, an embedding
PROJECT TITLE : Attention in Reasoning Dataset, Analysis, and Modeling ABSTRACT: Although attention has become an increasingly popular component in deep neural networks for the purpose of both interpreting data and improving
PROJECT TITLE : A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability ABSTRACT: Environmental, lighting, atmospheric, and temporal variables can all contribute to hyperspectral image spectral
PROJECT TITLE :Spectral Domain Sampling of Graph Signals - 2018ABSTRACT:Sampling ways for graph signals within the graph spectral domain are presented. Though the standard sampling of graph signals will be considered sampling
PROJECT TITLE :Quantized Spectral Compressed Sensing: Cramer–Rao Bounds and Recovery Algorithms - 2018ABSTRACT:Efficient estimation of wideband spectrum is of nice importance for applications like cognitive radio. Recently,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry