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Related Concept Videos

Properties of DTFT II01:24

Properties of DTFT II

In the study of discrete-time signal processing, understanding the properties of the Discrete-Time Fourier Transform (DTFT) is crucial for analyzing and manipulating signals in the frequency domain. Several properties, including frequency differentiation, convolution, accumulation, and Parseval's relation, offer powerful tools for signal analysis.
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω. Multiplying by j...
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Partial Differential Equations

A stone dropped into a still pond generates waves that propagate outward in circular patterns, creating a dynamic surface whose elevation depends on both position and time. At any given location, the water level oscillates as the wave passes, while at any fixed moment, the surface exhibits smooth, curved structures extending across space. This dual dependence requires a mathematical description that accounts for variation in multiple variables simultaneously.At a fixed point on the water...
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The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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In vector calculus, flux measures the total flow of a vector field through a surface. For a closed surface in three-dimensional space, this means measuring how much of the field passes outward through every point on the boundary. Directly calculating this flux can be difficult when the surface has a complicated or irregular shape. The Divergence Theorem provides a powerful alternative by relating surface flux to behavior inside the enclosed region.The Divergence Theorem states that the outward...
Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
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Related Experiment Video

Updated: Jul 4, 2026

Adapting Taylor Dispersion to Measure the Dispersion Coefficient of Electrolyte Solutions via an Accessible Microfluidic Setup
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Adapting Taylor Dispersion to Measure the Dispersion Coefficient of Electrolyte Solutions via an Accessible Microfluidic Setup

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Dispersive contour-path algorithm for the two-dimensional finite-difference time-domain method.

Ahmad Mohammadi1, Tahmineh Jalali, Mario Agio

  • 1Department of Physics, Persian Gulf University, 75196 Bushehr, Iran.

Optics Express
|June 12, 2008
PubMed
Summary
This summary is machine-generated.

We improved the contour-path effective-permittivity (CP-EP) finite-difference time-domain (FDTD) algorithm for modeling dispersive materials. Our new dispersive contour-path (DCP) method accurately simulates plasmon spectra, outperforming staircasing by reducing spurious resonances.

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The Diffusion of Passive Tracers in Laminar Shear Flow
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The Diffusion of Passive Tracers in Laminar Shear Flow

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Published on: October 7, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Area of Science:

  • Computational electromagnetics
  • Plasmonics
  • Materials science

Background:

  • The finite-difference time-domain (FDTD) method is widely used for electromagnetic simulations.
  • Accurate modeling of dispersive materials remains a challenge in FDTD.
  • Previous methods like contour-path effective-permittivity (CP-EP) have limitations with dispersive media.

Purpose of the Study:

  • To extend the CP-EP FDTD algorithm to handle linear dispersive materials.
  • To develop a new numerical approach for simulating plasmon spectra in metal nanoparticles.
  • To improve the accuracy and reduce spurious resonances in FDTD simulations of plasmonic systems.

Main Methods:

  • Extension of the CP-EP FDTD algorithm using Z-transform formalism.
  • Development of the dispersive contour-path (DCP) approach.
  • Validation against staircasing and exact solutions for plasmon spectra of metal nanoparticles.

Main Results:

  • The DCP approach successfully incorporates linear dispersion into the FDTD algorithm.
  • Simulations show the DCP method provides more accurate plasmon spectra compared to staircasing.
  • The DCP method effectively cancels spurious resonances, a common issue in FDTD simulations.

Conclusions:

  • The developed DCP approach is a significant improvement for FDTD simulations of dispersive materials.
  • This method offers enhanced accuracy for modeling plasmonic phenomena in metal nanoparticles.
  • The DCP technique provides a more reliable tool for researchers in computational electromagnetics and nanophotonics.