Jove
Visualize
Contact Us

Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

154
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
154
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.8K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.8K
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

3.0K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
3.0K
Speciation Rates01:07

Speciation Rates

21.7K
Overview
21.7K
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

437
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
437
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

59.6K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
59.6K

You might also read

Related Articles

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

Sort by
Same author

Controlled generation of self-sustained oscillations in complex artificial neural networks.

Chaos (Woodbury, N.Y.)·2021
Same author

Finding nonlinear system equations and complex network structures from data: A sparse optimization approach.

Chaos (Woodbury, N.Y.)·2021
Same author

Predicting phase and sensing phase coherence in chaotic systems with machine learning.

Chaos (Woodbury, N.Y.)·2020
Same author

Publisher's Note: "Predicting phase and sensing phase coherence in chaotic systems with machine learning" [Chaos 30, 083114 (2020)].

Chaos (Woodbury, N.Y.)·2020
Same author

Accurate detection of hierarchical communities in complex networks based on nonlinear dynamical evolution.

Chaos (Woodbury, N.Y.)·2020
Same author

Learning epidemic threshold in complex networks by Convolutional Neural Network.

Chaos (Woodbury, N.Y.)·2019
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

Chaos (Woodbury, N.Y.)·2026
Same journal

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

Chaos (Woodbury, N.Y.)·2026
Same journal

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

Chaos (Woodbury, N.Y.)·2026
Same journal

Finite invariant sets with bridging points in logistic IFS.

Chaos (Woodbury, N.Y.)·2026
See all related articles
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 Experiment Video

Updated: Sep 25, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Metamorphoses and explosively remote synchronization in dynamical networks.

Yong-Shang Long1, Zheng-Meng Zhai1, Ming Tang1

  • 1State Key Laboratory of Precision Spectroscopy and School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.

Chaos (Woodbury, N.Y.)
|April 30, 2022
PubMed
Summary
This summary is machine-generated.

In coupled nonlinear networks, a symmetry causes synchronization to abruptly shift. This synchronization metamorphosis leads to an explosive transition to remote synchronization in previously unconnected nodes.

More Related Videos

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.2K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.1K

Related Experiment Videos

Last Updated: Sep 25, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.2K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.1K

Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Network science

Background:

  • Coupled nonlinear networks exhibit complex behaviors, including synchronization.
  • Symmetry plays a crucial role in dictating network dynamics.
  • Remote synchronization and explosive synchronization have been studied as separate phenomena.

Purpose of the Study:

  • To investigate the interplay between symmetry and synchronization in coupled nonlinear networks.
  • To uncover novel synchronization phenomena arising from symmetry-induced bifurcations.
  • To demonstrate the co-occurrence of explosive and remote synchronization in a single system.

Main Methods:

  • Analysis of coupled nonlinear network models.
  • Bifurcation analysis to identify critical parameter values.
  • Numerical simulations to observe synchronization dynamics.

Main Results:

  • A critical parameter change triggers an abrupt deterioration of synchronization in one subset of nodes.
  • Simultaneously, perfect synchronization emerges in a different, non-directly connected subset of nodes.
  • This phenomenon, termed synchronization metamorphosis, demonstrates an explosive transition to remote synchronization.

Conclusions:

  • Symmetry in coupled nonlinear networks can lead to synchronization metamorphosis.
  • Explosive onset of synchrony and remote synchronization can co-arise in the same system due to symmetry.
  • The interplay between nonlinear dynamics and symmetry generates surprising phenomena in physical systems.