Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Kinetic Model of Gases01:24

The Kinetic Model of Gases

The kinetic model of gases explains the properties of a perfect gas using three main assumptions: molecules move in ceaseless random motion, their size is negligible compared to the distances between them, and they do not interact except during perfectly elastic collisions. The total energy of a gas is the sum of the kinetic energies of all its constituent molecules. The pressure exerted by the gas arises from the continual bombardment of the container walls by billions of colliding molecules.
Fluid Mosaic Model01:34

Fluid Mosaic Model

The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.LipidsThe most...
Fluid Mosaic Model01:19

Fluid Mosaic Model

Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich with the analogy of...
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...
Molecular Comparison of Gases, Liquids, and Solids02:26

Molecular Comparison of Gases, Liquids, and Solids

Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A critically prolonged avalanche burial with recorded cardiac electrical activity and complete recovery - a case report.

Scandinavian journal of trauma, resuscitation and emergency medicine·2024
Same author

Hepatic metabolism of chlorinated derivatives of bisphenol A (Cl<sub>x</sub>BPA) and interspecies differences between rats and humans.

Archives of toxicology·2022
Same author

An overview of the literature on emerging pollutants: Chlorinated derivatives of Bisphenol A (Cl<sub>x</sub>BPA).

Environment international·2021
Same author

[Neonates exposure to parabens through medicines administered to inpatients].

Annales pharmaceutiques francaises·2020
Same author

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.

Neural networks : the official journal of the International Neural Network Society·2020
Same author

Demonstration of the herd effect in adults after the implementation of pneumococcal vaccination with PCV13 in children.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2016

Related Experiment Video

Updated: Jul 15, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Coupling lattice Boltzmann and molecular dynamics models for dense fluids.

A Dupuis1, E M Kotsalis, P Koumoutsakos

  • 1Computational Laboratory, ETH, Zurich CH-8092, Switzerland.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|May 16, 2007
PubMed
Summary

We developed a hybrid lattice Boltzmann-molecular dynamics model to simulate dense fluids. This novel approach accurately models fluid flow around carbon nanotubes, offering a validated method for complex simulations.

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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

Related Experiment Videos

Last Updated: Jul 15, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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

Area of Science:

  • Computational physics
  • Fluid dynamics
  • Materials science

Background:

  • Simulating dense fluids requires models that capture both macroscopic and microscopic behaviors.
  • Bridging disparate time and length scales in fluid simulations presents a significant challenge.
  • Existing hybrid models may have limitations in efficiency or accuracy.

Purpose of the Study:

  • To introduce a novel hybrid model coupling lattice Boltzmann (LB) and molecular dynamics (MD) for dense fluid simulations.
  • To address the challenge of decoupled time and length scales in multi-physics simulations.
  • To validate the proposed LB-MD model for complex fluid-structure interaction scenarios.

Main Methods:

  • Coupling of lattice Boltzmann (LB) and molecular dynamics (MD) models.
  • Utilizing an iterative Schwarz domain decomposition algorithm for scale decoupling.
  • Inter-model communication via exchange of velocities and velocity gradients at the interface.

Main Results:

  • Successful simulation of two- and three-dimensional flows of liquid argon.
  • Validation of the hybrid LB-MD model in scenarios involving flow past and through a carbon nanotube.
  • Demonstrated accuracy through comparisons with existing hybrid algorithms and reference MD solutions.

Conclusions:

  • The proposed hybrid LB-MD model is a valid and effective approach for simulating dense fluids.
  • The domain decomposition strategy successfully decouples time and length scales.
  • This method offers a promising tool for studying complex fluid dynamics in nano-confined systems.