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

Kinetic Molecular Theory: Molecular Velocities, Temperature, and Kinetic Energy03:07

Kinetic Molecular Theory: Molecular Velocities, Temperature, and Kinetic Energy

29.8K
The kinetic molecular theory qualitatively explains the behaviors described by the various gas laws. The postulates of this theory may be applied in a more quantitative fashion to derive these individual laws.
29.8K
Range00:59

Range

14.1K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
14.1K
Kinetic Energy00:23

Kinetic Energy

43.4K
Kinetic energy is the ability of an object in motion to do work or enact change. It can take on many forms. For instance, water flowing down a waterfall has kinetic energy. In biological systems, particles of light travel and are absorbed by plants to create chemical energy. Animals consume the chemical energy and give off molecules that carry their scent through the air. They also generate kinetic energy when they run away from predators. Entire systems also possess kinetic energy, like the...
43.4K
Enzyme Kinetics01:19

Enzyme Kinetics

104.0K
Enzymes speed up reactions by lowering the activation energy of the reactants. The speed at which the enzyme turns reactants into products is called the rate of reaction. Several factors impact the rate of reaction, including the number of available reactants. Enzyme kinetics is the study of how an enzyme changes the rate of a reaction.
Scientists typically study enzyme kinetics with a fixed amount of enzyme in the controlled environment of a test tube. When more reactant, or substrate, is...
104.0K
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

2.7K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
2.7K
Phase Diagrams02:39

Phase Diagrams

50.0K
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...
50.0K

You might also read

Related Articles

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

Sort by
Same author

Efficient Predecision Scheme for Metropolis Monte Carlo Simulation of Long-Range Interacting Lattice Systems.

Physical review letters·2026
Same author

Domain growth and aging in a phase separating binary fluid confined inside a nanopore.

Soft matter·2026
Same author

Fast, modular, and differentiable framework for machine learning-enhanced molecular simulations.

The Journal of chemical physics·2025
Same author

Unusual swelling and anomalous block diffusion of di- and tri-block coploymers made of active and passive monomers.

The Journal of chemical physics·2025
Same author

Nonequilibrium dynamics of the helix-coil transition in polyalanine.

The Journal of chemical physics·2025
Same author

Reduced-Representation Sequencing Detects Trans-Arctic Connectivity and Local Adaptation in Polar Cod (Boreogadus saida).

Molecular ecology·2025

Related Experiment Video

Updated: Jan 29, 2026

Determination of the Gas-phase Acidities of Oligopeptides
11:00

Determination of the Gas-phase Acidities of Oligopeptides

Published on: June 24, 2013

11.6K

Phase ordering kinetics of the long-range Ising model.

Henrik Christiansen1, Suman Majumder1, Wolfhard Janke1

  • 1Institut für Theoretische Physik, Universität Leipzig, Postfach 100 920, 04009 Leipzig, Germany.

Physical Review. E
|February 21, 2019
PubMed
Summary

We developed an efficient Monte Carlo simulation method for long-range interacting spin systems. This approach accelerates nonequilibrium phase ordering dynamics simulations, achieving results consistent with theoretical predictions.

More Related Videos

Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model
07:56

Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model

Published on: January 10, 2025

1.2K
Measuring the Kinetics of mRNA Transcription in Single Living Cells
11:22

Measuring the Kinetics of mRNA Transcription in Single Living Cells

Published on: August 25, 2011

16.1K

Related Experiment Videos

Last Updated: Jan 29, 2026

Determination of the Gas-phase Acidities of Oligopeptides
11:00

Determination of the Gas-phase Acidities of Oligopeptides

Published on: June 24, 2013

11.6K
Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model
07:56

Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model

Published on: January 10, 2025

1.2K
Measuring the Kinetics of mRNA Transcription in Single Living Cells
11:22

Measuring the Kinetics of mRNA Transcription in Single Living Cells

Published on: August 25, 2011

16.1K

Area of Science:

  • Statistical Mechanics
  • Computational Physics
  • Condensed Matter Physics

Background:

  • Simulating dynamics in spin systems with long-range interactions is computationally challenging.
  • Previous numerical studies have struggled to align with theoretical predictions for domain growth dynamics.

Purpose of the Study:

  • To introduce an efficient computational method for simulating nonequilibrium phase ordering dynamics in long-range interacting spin systems.
  • To overcome the limitations of existing simulation techniques like Metropolis and kinetic Monte Carlo.
  • To achieve agreement with theoretical predictions for domain growth time dependence.

Main Methods:

  • Utilizing an efficient Monte Carlo simulation technique.
  • Applying the method to the long-range Ising model in two spatial dimensions.
  • Comparing simulation speed and efficiency against standard Metropolis and kinetic Monte Carlo methods.

Main Results:

  • The proposed method significantly accelerates simulations compared to standard Metropolis and kinetic Monte Carlo approaches.
  • The simulations successfully reproduce the theoretically predicted time dependence of domain growth.
  • This contrasts with previous numerical studies that failed to achieve this agreement.

Conclusions:

  • The developed Monte Carlo method offers a substantial improvement in efficiency for simulating long-range spin system dynamics.
  • The method's ability to match theoretical predictions validates its accuracy and utility.
  • The approach is generalizable to other complex systems, offering broad applicability in computational physics.