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

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).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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...

You might also read

Related Articles

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

Sort by
Same author

Lack of cerebellar tDCS effects on learning of a complex whole body dynamic balance task in middle-aged (50-65 years) adults.

Neurological research and practice·2020
Same author

Development and introduction of a ready-to-use pediatric pentavalent vaccine to meet and sustain the needs of developing countries--Quinvaxem®: the first 5 years.

Vaccine·2012
Same author

Dynamics of nanodroplets on topographically structured substrates.

Journal of physics. Condensed matter : an Institute of Physics journal·2011
Same author

Micro-rheology on (polymer-grafted) colloids using optical tweezers.

Journal of physics. Condensed matter : an Institute of Physics journal·2011
Same author

Dynamics of colloids in confined geometries.

Journal of physics. Condensed matter : an Institute of Physics journal·2011
Same author

Size dependent motion of nanodroplets on chemical steps.

The Journal of chemical physics·2008
Same journal

Topological properties of curved spacetime extended Su-Schrieffer-Heeger model.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Influence of lattice expansion on Cr ferromagnetism in Ce<sub>(1-x)</sub>La<sub>(x)</sub>CrGe<sub>3</sub>compounds revealed by atomic-scale measurements.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Bond-length-driven magnetic transition in quasi-one-dimensional CrSb<i>X</i><sub>3</sub>(<i>X</i>=S, Se).

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Anelasticity in MgAl2O4 spinel due to cation order-disorder.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

The influence of water on the dynamics of alternating polymers P(C<sub>8</sub>EG<sub>4</sub>) and P(C<sub>4</sub>EG<sub>4</sub>) by broadband dielectric spectroscopy.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

How surface curvature shapes water nanodroplets in air.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 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

DDFT for Brownian particles and hydrodynamics.

M Rauscher1

  • 1Max-Planck-Institut für Metallforschung, Heisenbergstraße 3, D-70569 Stuttgart, Germany. rauscher@mf.mpg.de

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

Dynamic density functional theory (DDFT) models Brownian particle dynamics. This study enhances DDFT by incorporating solvent hydrodynamics, improving predictions for colloidal suspensions in non-equilibrium conditions.

More Related Videos

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

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Related Experiment Videos

Last Updated: Jun 3, 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

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

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Area of Science:

  • Statistical Mechanics
  • Soft Matter Physics
  • Computational Physics

Background:

  • Classical dynamic density functional theory (DDFT) effectively models overdamped Brownian particle dynamics.
  • The equilibrium density functional serves as a quantitative model for colloidal suspensions.
  • Solvent hydrodynamics significantly influence non-equilibrium properties of these systems.

Purpose of the Study:

  • To integrate solvent hydrodynamics into DDFT.
  • To account for advection by flowing solvents.
  • To model hydrodynamic interactions between particles and with container walls.

Main Methods:

  • Extension of classical DDFT framework.
  • Incorporation of advection terms.
  • Inclusion of hydrodynamic interaction potentials.

Main Results:

  • A modified DDFT framework capable of describing solvent-mediated dynamics.
  • Quantitative predictions for colloidal systems under flow.
  • Improved understanding of particle-wall and inter-particle hydrodynamic interactions.

Conclusions:

  • The enhanced DDFT provides a more comprehensive description of colloidal dynamics.
  • This approach is crucial for accurate modeling of non-equilibrium soft matter systems.
  • The framework offers new possibilities for simulating complex hydrodynamic phenomena.