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Calculation of Electric Flux01:25

Calculation of Electric Flux

Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area vector...
Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Transmission Electron Microscopy01:15

Transmission Electron Microscopy

In 1931, physicist Ernst Ruska—building on the idea that magnetic fields can direct an electron beam just as lenses can direct a beam of light in an optical microscope—developed the first prototype of the electron microscope. This development led to the development of the field of electron microscopy. In the transmission electron microscope (TEM), electrons are produced by a hot tungsten element and accelerated by a potential difference in an electron gun, which gives them up to 400 keV in...
Calculations of Electric Potential II01:27

Calculations of Electric Potential II

An electric dipole is a system of two equal but opposite charges, separated by a fixed distance. This system is used to model many real-world systems, including atomic and molecular interactions. One of these systems is the water molecule, but only under certain circumstances. These circumstances are met inside a microwave oven, where electric fields with alternating directions make the water molecules change orientation. This vibration is equivalent to heat at the molecular level.
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Overview of Electron Microscopy01:25

Overview of Electron Microscopy

The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.

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Related Experiment Video

Updated: May 31, 2026

Preparing a Celadonite Electron Source and Estimating Its Brightness
09:14

Preparing a Celadonite Electron Source and Estimating Its Brightness

Published on: November 5, 2019

A time-dependent embedding calculation of surface electron emission.

J E Inglesfield1

  • 1School of Physics and Astronomy, Cardiff University, The Parade, Cardiff, CF24 3AA, UK. JE.Inglesfield@googlemail.com

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|July 2, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an embedding method to efficiently calculate electron excitation at metal surfaces. The method accurately models electron behavior, distinguishing between surface and bulk states for improved understanding of surface dynamics.

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Tracking Electrochemistry on Single Nanoparticles with Surface-Enhanced Raman Scattering Spectroscopy and Microscopy
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Related Experiment Videos

Last Updated: May 31, 2026

Preparing a Celadonite Electron Source and Estimating Its Brightness
09:14

Preparing a Celadonite Electron Source and Estimating Its Brightness

Published on: November 5, 2019

Tracking Electrochemistry on Single Nanoparticles with Surface-Enhanced Raman Scattering Spectroscopy and Microscopy
10:59

Tracking Electrochemistry on Single Nanoparticles with Surface-Enhanced Raman Scattering Spectroscopy and Microscopy

Published on: May 12, 2023

Area of Science:

  • Computational Physics
  • Surface Science
  • Quantum Mechanics

Background:

  • The time-dependent Schrödinger equation governs quantum system evolution.
  • Calculating electron dynamics at metal surfaces is computationally intensive.
  • Accurate modeling of electron excitation requires efficient methods.

Purpose of the Study:

  • To derive and apply an embedding method for solving the time-dependent Schrödinger equation.
  • To investigate electron excitation at a metal surface (Cu(111)) using this method.
  • To analyze the time-dependent behavior of surface and bulk electron states.

Main Methods:

  • Utilized the Dirac-Frenkel variational principle to derive the embedding method.
  • Developed time-dependent embedding potentials to represent the substrate and vacuum.
  • Restricted calculations to the surface region of interest.

Main Results:

  • Successfully modeled the excitation of a Shockley surface state and a continuum bulk state.
  • Observed distinct current emission characteristics for localized surface states versus extended bulk states.
  • Analyzed the time structure of emitted currents and their compensation by bulk influx.

Conclusions:

  • The embedding method provides an efficient approach for studying electron excitation at metal surfaces.
  • The method allows for detailed analysis of electron dynamics, differentiating between state types.
  • Understanding electron transport dynamics at surfaces is crucial for materials science applications.