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Related Concept Videos

Lattice Energies of Ionic Crystals01:27

Lattice Energies of Ionic Crystals

Lattice energy represents the energy released when gaseous cations and anions combine to form an ionic solid, reflecting the strength of electrostatic interactions within the crystal. This process is fundamentally governed by Coulombic attraction between oppositely charged ions, where the potential energy varies inversely with the interionic distance and directly with the product of ionic charges. As ions approach one another, the electrostatic energy becomes increasingly negative, indicating a...
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An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
Maxwell-Boltzmann Distribution: Problem Solving01:20

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
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Lattice Centering and Coordination Number02:33

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The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
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Once the fields have been calculated using Maxwell's four equations, the Lorentz force equation gives the force that the fields exert on a charged particle moving with a certain velocity. The Lorentz force equation combines the force of the electric field and of the magnetic field on the moving charge. Maxwell's equations and the Lorentz force law together encompass all the laws of electricity and magnetism. The symmetry that Maxwell introduced into his mathematical framework may not be...

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Related Experiment Video

Updated: Jun 8, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Improved axisymmetric lattice Boltzmann scheme.

Q Li1, Y L He, G H Tang

  • 1National Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2010
PubMed
Summary

This study introduces a new lattice Boltzmann scheme for fluid dynamics simulations. The improved method simplifies calculations for incompressible axisymmetric flows and accurately handles boundary conditions.

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Area of Science:

  • Computational Fluid Dynamics
  • Numerical Methods
  • Fluid Mechanics

Background:

  • The Lattice Boltzmann Method (LBM) is a powerful numerical technique for simulating fluid flow.
  • Standard LBM schemes can be complex to implement, especially for specific flow geometries like axisymmetric flows.
  • Handling singularities, such as those at the axis of symmetry, poses a challenge in LBM simulations.

Purpose of the Study:

  • To propose an improved lattice Boltzmann scheme tailored for incompressible axisymmetric flows.
  • To develop a scheme that retains the core principles of the standard LBM while offering enhanced simplicity and robustness.
  • To address the singularity issue at the axis without compromising the ease of boundary condition treatment inherent to LBM.

Main Methods:

  • The proposed scheme utilizes the single-particle density distribution function within the LBM framework.
  • A simplified source term, devoid of velocity gradient terms, is incorporated for ease of implementation.
  • The scheme is designed to effectively manage the singularity problem at the axis of symmetry.

Main Results:

  • The improved lattice Boltzmann scheme was validated through simulations of several benchmark problems.
  • Simulated flows included Hagen-Poiseuille flow, three-dimensional Womersley flow, and lid-driven rotational flow in cylindrical cavities.
  • Numerical results demonstrated excellent agreement with analytical solutions and previously reported findings.

Conclusions:

  • The developed lattice Boltzmann scheme offers a simplified and effective approach for simulating incompressible axisymmetric flows.
  • The scheme successfully handles the singularity at the axis, preserving the LBM's advantage in boundary condition treatment.
  • This improved method provides a robust and accurate tool for computational fluid dynamics research.