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Related Concept Videos

Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx and a shunt capacitance CΔx.
Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Energy Losses in Transformers01:21

Energy Losses in Transformers

In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the copper windings...
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
Lossless Lines01:23

Lossless Lines

In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
Minor Losses in Pipes01:25

Minor Losses in Pipes

In pipe systems, minor losses refer to energy losses arising from components such as valves, bends, fittings, expansions, and other features that disrupt the steady flow of fluid. These disturbances cause energy dissipation through turbulence and resistance, which engineers quantify to manage system efficiency effectively.
Valves play a significant role in generating minor losses by obstructing or redirecting the fluid flow. When a valve is closed or partially closed, it restricts the flow...

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Related Experiment Video

Updated: Jun 11, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Fitting the momentum dependent loss function in EELS.

Giovanni Bertoni1, Jo Verbeeck, Fons Brosens

  • 1Italian Institute of Technology (IIT), via Morego 30, IT-16163 Genoa, Italy. giovanni.bertoni@iit.it.

Microscopy Research and Technique
|July 3, 2010
PubMed
Summary
This summary is machine-generated.

Electron energy loss spectroscopy in transmission electron microscopy measures inelastic plasmon scattering. A new fitting technique, applied to aluminum films, effectively extracts the loss function from angular resolved spectra.

Keywords:
electron energy lossloss functionmodel basedplasmon width

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Spectroscopy

Background:

  • Electron energy loss spectroscopy (EELS) is a powerful technique for probing electronic excitations in materials.
  • Plasmon scattering, a key phenomenon in EELS, provides insights into material dielectric properties.
  • Characterizing momentum-dependent plasmon scattering requires advanced analytical methods.

Purpose of the Study:

  • To develop and validate a novel fitting technique for analyzing momentum-dependent inelastic plasmon scattering data.
  • To extract the material's loss function from angular-resolved EELS spectra.
  • To demonstrate the efficacy of the proposed method using aluminum as a model system.

Main Methods:

  • Utilizing transmission electron microscopy (TEM) for electron energy loss measurements.
  • Employing energy-filtered diffraction to capture angular-resolved spectra.
  • Applying a fitting technique, rather than deconvolution, to extract the loss function from experimental data.
  • Using a simple model simulation as a starting point for the fitting process.

Main Results:

  • Successfully measured momentum-dependent inelastic plasmon scattering in aluminum.
  • Extracted the characteristic scattering and cutoff angles from energy-filtered diffraction data.
  • Demonstrated that the fitting technique accurately retrieves the loss function from angular-resolved spectra.
  • Validated the approach by comparing results with theoretical expectations for aluminum.

Conclusions:

  • The developed fitting technique offers a robust alternative to deconvolution for analyzing EELS data.
  • This method enhances the ability to characterize plasmonic properties and electronic structures of materials.
  • The study provides a refined approach for quantitative analysis in electron energy loss spectroscopy.