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

Feedback Inhibition00:46

Feedback Inhibition

56.9K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
56.9K
Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
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...
16.1K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

754
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
754
Enzyme Inhibition01:30

Enzyme Inhibition

91.7K
Inhibitors are molecules that reduce enzyme activity by binding to the enzyme. In a normally functioning cell, enzymes are regulated by a variety of inhibitors. Drugs and other toxins can also inhibit enzymes. Some inhibitors bind to the enzyme’s active site, while others inhibit enzymatic activity by binding to other sites on the protein structure.
91.7K

You might also read

Related Articles

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

Sort by
Same author

Dynamics of reservoir computing for crises prediction.

Physical review. E·2026
Same author

A Novel Predictive Model to Determine Probability of Bacterial Aetiology in Acute Exacerbation of COPD: "Infection Score" A Prospective Cohort Study.

COPD·2026
Same author

Functional Outcome of Curettage and Chemical Cauterization with Bone Grafting and Fixation with Neo-Adjuvant Denosumab Therapy in a Case of Giant Cell Tumor of Navicular Bone of a Young Adult - A Case Report.

Journal of orthopaedic case reports·2026
Same author

Incidence and risk factors of acute kidney injury after myocardial infarction; a prospective cohort study with impact of timing of presentation on other risk factors.

BMC nephrology·2026
Same author

Exploring the operational performance of Indian smes: an integrated PLS-SEM and NCA approach.

Scientific reports·2025
Same author

Solitary states in spiking oscillators with higher-order interactions.

Physical review. E·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 21, 2026

Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.2K

Inhibition-induced explosive synchronization in multiplex networks.

Sarika Jalan1,2,3, Vasundhara Rathore2, Ajay Deep Kachhvah1

  • 1Complex Systems Lab, Discipline of Physics, Indian Institute of Technology Indore, Khandwa Road, Simrol, Indore-453552, India.

Physical Review. E
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

Explosive synchronization (ES) can occur in any network by adding a specific layer. This study shows a new method for achieving ES with hysteresis using multiplexing and inhibitory layers.

More Related Videos

Minimum Burning Pressures of Water-based Emulsion Explosives
08:35

Minimum Burning Pressures of Water-based Emulsion Explosives

Published on: October 31, 2017

8.8K
Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.1K

Related Experiment Videos

Last Updated: Jan 21, 2026

Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.2K
Minimum Burning Pressures of Water-based Emulsion Explosives
08:35

Minimum Burning Pressures of Water-based Emulsion Explosives

Published on: October 31, 2017

8.8K
Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.1K

Area of Science:

  • Complex Networks
  • Nonlinear Dynamics
  • Physics

Background:

  • Explosive synchronization (ES) has been previously linked to specific network properties like degree-frequency correlation or oscillator inertia.
  • Existing models often require specific conditions for ES to emerge.

Purpose of the Study:

  • To demonstrate that explosive synchronization (ES) is a generic phenomenon.
  • To introduce a method for inducing ES in any network through multiplexing.
  • To investigate the control of ES using structural properties and layer interactions.

Main Methods:

  • Multiplexing a network with a negatively coupled (inhibitory) layer.
  • Analyzing the impact of excitatory and inhibitory layer structures on ES.
  • Developing analytical predictions for phase distribution spread.

Main Results:

  • ES can be induced in any network by multiplexing with an appropriate layer, irrespective of prior conditions.
  • A hysteresis loop is observed in the ES transition when using a negatively coupled layer.
  • Analytical predictions for phase distribution align well with numerical simulations.

Conclusions:

  • Explosive synchronization is a generic phenomenon achievable through network multiplexing.
  • The multiplex framework offers significant structural control over induced phenomena like ES.
  • This approach enables phenomena not possible in isolated networks.