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

Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

3.3K
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...
3.3K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.1K
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.
3.1K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.7K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.7K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

452
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...
452
Multimachine Stability01:25

Multimachine Stability

513
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
513
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

245
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
245

You might also read

Related Articles

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

Sort by
Same author

Unique territorial and compartmental organization of chromosomes in the holocentric silkworm.

The EMBO journal·2026
Same author

Emergence of Chiral Order Driven by Quenched Disorder.

Physical review letters·2025
Same author

Size-dependent temporal decoupling of morphogenesis and transcriptional programs in pseudoembryos.

Science advances·2025
Same author

Sequence-dependent activity and compartmentalization of foreign DNA in a eukaryotic nucleus.

Science (New York, N.Y.)·2025
Same author

Condensin I folds the Caenorhabditis elegans genome.

Nature genetics·2024
Same author

In silico design of DNA sequences for in vivo nucleosome positioning.

Nucleic acids research·2024

Related Experiment Video

Updated: Jan 3, 2026

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

2.6K

Turing-like patterns in an asymmetric dynamic Ising model.

Mélody Merle1, Laura Messio1, Julien Mozziconacci1

  • 1Sorbonne Université, CNRS, Laboratoire de Physique Théorique de la Matière Condensée, LPTMC, F-75005 Paris, France.

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

Researchers developed a new finite-range Ising model to study pattern formation, mimicking reaction-diffusion systems. This approach enables tunable pattern length scales and applies to complex interacting agent systems.

More Related Videos

Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns
04:24

Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns

Published on: February 13, 2011

9.8K
Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
08:44

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Published on: October 17, 2025

384

Related Experiment Videos

Last Updated: Jan 3, 2026

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

2.6K
Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns
04:24

Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns

Published on: February 13, 2011

9.8K
Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
08:44

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Published on: October 17, 2025

384

Area of Science:

  • Complex Systems
  • Statistical Physics
  • Computational Biology

Background:

  • Pattern formation is crucial in various complex systems, from biological development to material science.
  • Traditional Ising models for pattern formation typically require infinite-range interactions, limiting their applicability.
  • Reaction-diffusion systems exhibit complex spatial patterns, such as Turing patterns, with tunable length scales.

Purpose of the Study:

  • To develop a novel finite-range Ising model capable of generating patterns observed in reaction-diffusion systems.
  • To establish a mapping between reactive concentrations and spin orientations for simulating complex systems.
  • To create a versatile model for studying pattern formation with tunable length scales.

Main Methods:

  • A mapping was established between reactive concentrations in reaction-diffusion systems and spin orientations in a dynamic multiple-spin Ising model.
  • A finite-range Ising model with asymmetric interactions and multiple coexisting spin types was designed.
  • The model was applied to simulate pattern formation, including Turing patterns, with adjustable length scales.

Main Results:

  • The developed finite-range Ising model successfully reproduces patterns characteristic of reaction-diffusion systems.
  • The model allows for the tuning of the typical length scale of the emergent patterns.
  • The system demonstrates the coexistence of multiple spin types at a single site with asymmetric interactions.

Conclusions:

  • This novel Ising model provides a new framework for understanding pattern formation in systems with finite-range interactions.
  • The model successfully bridges the gap between reaction-diffusion dynamics and spin system behavior.
  • The approach is broadly applicable to diverse complex systems involving interacting agents, including genetic regulation in embryogenesis.