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

Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

2.2K
In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
2.2K
Magnetic Fields01:27

Magnetic Fields

7.0K
A moving charge or a current creates a magnetic field in the surrounding space, in addition to its electric field. The magnetic field exerts a force on any other moving charge or current that is present in the field. Like an electric field, the magnetic field is also a vector field. At any position, the direction of the magnetic field is defined as the direction in which the north pole of a compass needle points.
A magnetic field is defined by the force that a charged particle experiences...
7.0K
Diamagnetism01:26

Diamagnetism

2.9K
Materials consisting of paired electrons have zero net magnetic moments. However, when these materials are placed under an external magnetic field, the moments opposite to the field are induced. Such materials are called diamagnets. Diamagnetism is the response of the diamagnets when placed in an external magnetic field.
Diamagnetism was discovered by Anton Brugmans in 1778 when he observed that bismuth gets repelled by magnetic fields, thus theorizing that diamagnets get repelled by magnets....
2.9K
Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

1.2K
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis.
1.2K
Paramagnetism01:30

Paramagnetism

2.9K
Paramagnets are materials with unpaired electrons that possess a finite magnetic moment. In the absence of a magnetic field, these moments are randomly oriented, and thus the net moment is zero. Under an external field, a torque acting on the moments tends to align them along the field's direction. However, the random thermal motion of electrons produces a torque opposite to the external field and tries to disorient the moments. These two competing effects align only a few moments along the...
2.9K
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

733
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
733

You might also read

Related Articles

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

Sort by
Same author

Flexible Time-Series Analysis: A Dynamically Aware Method for Inferring Directed Dependencies in Behavioral Data.

Behavioural processes·2026
Same author

Tailoring silicone mixtures for soft robotics: predictive modeling and experimental validation in pneumatic soft actuators.

Bioinspiration & biomimetics·2026
Same author

Biomechanical Stimulation of Mesenchymal Stem Cells in 3D Peptide Nanofibers for Bone Differentiation.

Journal of functional biomaterials·2026
Same author

Estimating stiffness and damping of a novel variable impedance actuator based on adjusting viscoelastic properties of thermoresponsive polycaprolactone in harmonic motions.

Scientific reports·2025
Same author

Genomic and Demographic Characteristics of Angiosarcoma as Described in the AACR Project GENIE Registry.

Cancers·2025
Same author

Emergence of long-range non-equilibrium correlations in free liquid diffusion.

The Journal of chemical physics·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Jan 3, 2026

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.9K

Magnetic stochasticity and diffusion.

Amir Jafari1, Ethan Vishniac1, Vignesh Vaikundaraman1

  • 1Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.

Physical Review. E
|November 28, 2019
PubMed
Summary
This summary is machine-generated.

We found a quantitative link between magnetic diffusion and magnetic field randomness in turbulent magnetized media. This connection explains how magnetic reconnection accelerates processes in space.

More Related Videos

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

5.2K
In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

6.7K

Related Experiment Videos

Last Updated: Jan 3, 2026

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.9K
Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

5.2K
In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

6.7K

Area of Science:

  • Plasma Physics
  • Astrophysics
  • Fluid Dynamics

Background:

  • Understanding magnetic field behavior in turbulent plasmas is crucial for astrophysics and fusion energy.
  • Previous work defined magnetic stochasticity using L_p norms based on coarse-grained fields at different scales.

Purpose of the Study:

  • To establish a quantitative relationship between magnetic stochasticity and magnetic diffusion in magnetohydrodynamic (MHD) turbulence.
  • To validate this relationship using numerical simulations.

Main Methods:

  • Developed a mathematical formulation for magnetic stochasticity (S_p(t)).
  • Employed a homogeneous, incompressible MHD simulation to test the predicted relationship.
  • Analyzed the diffusion of magnetic fields within the turbulent medium.

Main Results:

  • A direct connection was established between magnetic stochasticity and magnetic diffusion.
  • Simulations confirmed that magnetic diffusion in turbulence follows the superlinear Richardson dispersion scheme.
  • This diffusion is linked to stochastic magnetic reconnection, broadening outflows and accelerating the process.

Conclusions:

  • Magnetic stochasticity is a key factor governing magnetic diffusion in turbulent MHD.
  • The findings provide insights into the mechanisms driving magnetic reconnection and particle acceleration in astrophysical phenomena.