Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Dimensional Analysis

Dimensional Analysis

Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...

Dimensional Analysis

Dimensional Analysis

Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...

Colors and Magnetism

Colors and Magnetism

Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...

You might also read

Related Articles

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

Sort by

Same author

Total organic acids from Cuscuta chinensis Lam. Modulate MDM2 to promote neurogenesis and alleviate depression.

Journal of ethnopharmacology·2026

Same author

Plug flow down to the nanoscale can induce partial solidification of confined fluids.

Soft matter·2026

Same author

Thermodynamic reconciliation of stable nanobubbles: pressure, surface tension, and chemical potential.

Physical chemistry chemical physics : PCCP·2026

Same author

Gas Supersaturation-Dependent Contact Angle for Bubble Nucleation in Electrochemistry.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

Entropic alignment of topologically modified ring polymers in cylindrical confinement.

Physical review. E·2026

Same author

Cold storage delays peach fruit softening via m<sup>6</sup>A reader PpYTHDFE1 liquid-liquid phase separation-mediated degradation of cell wall-loosening transcript PpEXP3.

Molecular horticulture·2026

Search research articles

Related Experiment Video

Updated: Jan 26, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

Published on: May 7, 2017

Active microrheology in two-dimensional magnetic networks.

Hanqing Wang¹, TomaŽ Mohorič, Xianren Zhang

¹State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, P. R. China.

|April 24, 2019

Summary

Computer simulations reveal how magnetic and non-magnetic particles affect 2D magnetic networks. Non-magnetic particles create channels, while magnetic particles cause minimal changes, impacting particle movement and diffusion dynamics.

More Related Videos

Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops

Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops

Published on: July 11, 2025

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

Related Experiment Videos

Last Updated: Jan 26, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

Published on: May 7, 2017

Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops

Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops

Published on: July 11, 2025

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

Area of Science:

Physics
Materials Science
Soft Matter

Background:

Understanding the mechanical properties of 2D networks is crucial for materials science.
Active microrheology probes material behavior under external forces.
Magnetic networks offer tunable properties for advanced applications.

Purpose of the Study:

To investigate the effects of tracer particle type (magnetic vs. non-magnetic) on 2D magnetic network structure and dynamics.
To characterize the active microrheology of these networks using computer simulations.
To analyze transport anomalies and diffusion behavior under varying forces.

Main Methods:

Langevin dynamics computer simulations were employed.
Single non-magnetic and magnetic tracer particles were pulled through 2D networks with a constant force.
Structural changes were analyzed using pair correlation functions.
Transport properties were investigated via van Hove correlation functions and residence time distributions.

Main Results:

Non-magnetic tracers significantly altered network structure, forming channels at high forces.
Magnetic tracers had a minor impact on the network structure.
Both particle types exhibited localized behavior at zero force.
Anisotropic and superdiffusive transport was observed beyond the linear-response regime.

Conclusions:

Tracer particle properties critically influence the microrheology and structural response of 2D magnetic networks.
The study reveals distinct behaviors for magnetic and non-magnetic tracers, highlighting the role of magnetic interactions.
Anomalous diffusion and anisotropic transport are key features in these systems under applied forces.