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

Phase Diagram01:19

Phase Diagram

5.8K
The phase of a given substance depends on the pressure and temperature. Thus, plots of pressure versus temperature showing the phase in each region provide considerable insights into the thermal properties of substances. Such plots are known as phase diagrams. For instance, in the phase diagram for water (Figure 1), the solid curve boundaries between the phases indicate phase transitions (i.e., temperatures and pressures at which the phases coexist).
5.8K
Phase Diagrams02:39

Phase Diagrams

40.6K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
40.6K
Positive Regulator Molecules01:45

Positive Regulator Molecules

106.0K
To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.
106.0K
Current Growth And Decay In RL Circuits01:30

Current Growth And Decay In RL Circuits

3.8K
The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
3.8K
Cells Coordinate Growth and Proliferation02:36

Cells Coordinate Growth and Proliferation

4.5K
Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
4.5K
The Cell Cycle Control System01:28

The Cell Cycle Control System

2.8K
The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Inference in spreading processes with neural-network priors.

Physical review. E·2026
Same author

Dynamical cavity method for hypergraphs and its application to quenches in the k-XOR-SAT problem.

Physical review. E·2025
Same author

Long-read 16S amplicon analyses and improved cultivation techniques as joined approach for the identification of viable bacterial populations in silage.

Journal of applied microbiology·2025
Same author

Integer traffic assignment problem: Algorithms and insights on random graphs.

Physical review. E·2025
Same author

Sampling with flows, diffusion, and autoregressive neural networks from a spin-glass perspective.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Editorial Introduction to the 2022 Conference on Artificial Life Special Issue.

Artificial life·2024
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: Jun 26, 2025

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
06:26

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets

Published on: May 15, 2017

7.1K

Dynamical phase transitions in graph cellular automata.

Freya Behrens1, Barbora Hudcová2,3, Lenka Zdeborová1

  • 1Statistical Physics Of Computation Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Physical Review. E
|May 17, 2024
PubMed
Summary
This summary is machine-generated.

Graph cellular automata on random graphs allow for analytical insights into complex system dynamics. This research introduces "conforming nonconformist" rules, revealing phase transitions in opinion formation models.

More Related Videos

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.2K
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

2.1K

Related Experiment Videos

Last Updated: Jun 26, 2025

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
06:26

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets

Published on: May 15, 2017

7.1K
Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.2K
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

2.1K

Area of Science:

  • Complex Systems
  • Statistical Physics
  • Network Science

Background:

  • Discrete dynamical systems, like cellular automata, display complex global behavior from simple local rules.
  • Analyzing global dynamics of traditional cellular automata is often analytically challenging due to their regular grid structure.

Purpose of the Study:

  • To introduce and analyze graph cellular automata (GCA) on random graphs as a more tractable model.
  • To investigate the global dynamics of GCA, particularly those with
  • conforming nonconformist
  • update rules, using analytical methods.

Main Methods:

  • Development and application of the dynamical cavity method and its backtracking variant.
  • Analysis of GCA on sparse random graphs to derive asymptotically exact results.
  • Modeling opinion formation dynamics using GCA with specific update rules.

Main Results:

  • The dynamical cavity method provides analytical tractability for GCA on random graphs.
  • Identified sharp dynamical phase transitions in GCA with
  • conforming nonconformist
  • rules.
  • Characterized transitions in terms of convergence speed and attractor types, relating to consensus and opinion coexistence.

Conclusions:

  • Relaxing the grid structure to a random graph significantly enhances analytical understanding of cellular automata dynamics.
  • The
  • conforming nonconformist
  • GCA model offers a novel framework for studying opinion formation and predicting consensus emergence.
  • The findings provide insights into the conditions governing consensus formation versus persistent coexistence of opinions in social or information networks.