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

Divergence and Curl of Magnetic Field01:26

Divergence and Curl of Magnetic Field

The magnetic field due to a volume current distribution given by the Biot–Savart Law can be expressed as follows:
Divergence and Curl of Electric Field01:25

Divergence and Curl of Electric Field

The divergence of a vector is a measure of how much the vector spreads out (diverges) from a point. For example, an electric field vector diverges from the positive charge and converges at the negative charge. The divergence of an electric field is derived using Gauss's law and is equal to the charge density divided by the permittivity of space. Mathematically, it is expressed as
Symmetry in Maxwell's Equations01:28

Symmetry in Maxwell's Equations

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...
Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
The Fluid Mosaic Model01:34

The 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.
Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and Faraday.

You might also read

Related Articles

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

Sort by
Same author

Virtual states and exponential decay in small-scale dynamo.

Physical review. E·2026
Same author

Material surfaces in stochastic flows: Integrals of motion and intermittency.

Physical review. E·2023
Same author

Long-term properties of finite-correlation-time isotropic stochastic systems.

Physical review. E·2022
Same author

Stationary scaling in small-scale turbulent dynamo problem.

Physical review. E·2020
Same author

Turbulent transport in reaction-diffusion systems.

Physical review. E·2019
Same author

Passive scalar transport by a non-Gaussian turbulent flow in the Batchelor regime.

Physical review. E·2018

Related Experiment Video

Updated: May 18, 2026

Scanning SQUID Study of Vortex Manipulation by Local Contact
06:53

Scanning SQUID Study of Vortex Manipulation by Local Contact

Published on: February 1, 2017

Vortex filament model and multifractal conjecture.

K P Zybin1, V A Sirota

  • 1P. N. Lebedev Physical Institute of RAS, Leninskij Prospekt, Moscow, Russia. zybin@lpi.ru

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

We present a new theory of turbulence using the inviscid Navier-Stokes equation, yielding an exact stochastic solution. This approach accurately predicts turbulence scaling laws, aligning with experimental and simulation data.

More Related Videos

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Related Experiment Videos

Last Updated: May 18, 2026

Scanning SQUID Study of Vortex Manipulation by Local Contact
06:53

Scanning SQUID Study of Vortex Manipulation by Local Contact

Published on: February 1, 2017

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Area of Science:

  • Fluid Dynamics
  • Statistical Physics
  • Turbulence Theory

Background:

  • Understanding turbulence is a fundamental challenge in physics.
  • The Navier-Stokes equation describes fluid motion but is difficult to solve analytically for turbulent flows.

Purpose of the Study:

  • To develop an exact stochastic solution for the inviscid Navier-Stokes equation.
  • To derive turbulence scaling laws in the inertial range.
  • To validate the model against numerical and experimental results.

Main Methods:

  • Developing a vortex filament model as an exact stochastic solution.
  • Applying the multifractal conjecture to calculate scaling exponents.
  • Comparing results with existing numerical simulations and experimental data.

Main Results:

  • An exact power law for velocity structure functions in the inertial range was obtained.
  • Scaling exponents were calculated without relying on extended self-similarity.
  • The model demonstrated excellent agreement with numerical and experimental findings.

Conclusions:

  • The proposed vortex filament model offers a powerful tool for turbulence research.
  • The study validates the combination of stochastic solutions and multifractal analysis for turbulence.
  • Further exploration of general stochastic solutions is warranted.