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Related Concept Videos

Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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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Bernoulli's Equation00:59

Bernoulli's Equation

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Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Accelerating Fluids01:17

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Related Experiment Video

Updated: Jul 6, 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

Multispeed models in off-lattice Boltzmann simulations.

André Bardow1, Iliya V Karlin, Andrei A Gusev

  • 1Process & Energy Department, Delft University of Technology, 2628 CA Delft, The Netherlands. a.bardow@tudelft.nl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 21, 2008
PubMed
Summary
This summary is machine-generated.

Multispeed lattice Boltzmann models improve accuracy for complex flow simulations. This off-lattice approach makes large-scale computations practical on unstructured grids.

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New Features in Visual Dynamics 3.0
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Last Updated: Jul 6, 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

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05:00

New Features in Visual Dynamics 3.0

Published on: August 9, 2024

Area of Science:

  • Computational fluid dynamics
  • Numerical methods

Background:

  • The lattice Boltzmann method (LBM) is a powerful tool for simulating complex fluid flows.
  • Standard LBM is typically limited to structured grids, restricting its application.
  • Off-lattice methods offer flexibility but can be complex to implement.

Purpose of the Study:

  • To implement recently proposed multispeed lattice Boltzmann models.
  • To leverage the flexibility of off-lattice methods for enhanced accuracy.
  • To enable large-scale simulations on unstructured grids.

Main Methods:

  • Utilized a general characteristic-based algorithm for off-lattice Boltzmann simulations.
  • Implemented multispeed lattice Boltzmann models within the off-lattice framework.
  • Extended the method to handle unstructured grids.

Main Results:

  • Demonstrated that multispeed models significantly enhance simulation accuracy.
  • Successfully preserved the desirable properties of standard LBM in the off-lattice approach.
  • Showcased the practicality of large-scale off-lattice computations.

Conclusions:

  • The integration of multispeed models with off-lattice LBM offers a highly accurate simulation approach.
  • This method overcomes the limitations of structured grids, enabling complex flow simulations.
  • The proposed technique makes large-scale, accurate off-lattice LBM computations feasible.