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 Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
Thermal Sigmatropic Reactions: Overview01:16

Thermal Sigmatropic Reactions: Overview

Sigmatropic rearrangements are a class of pericyclic reactions in which a σ bond migrates from one part of a π system to another. These are intramolecular rearrangements where the total number of σ and π bonds remain unchanged.
Sigmatropic shifts are classified based on an order term [i, j ], where i and j indicate the number of atoms across which each end of the σ bond migrates. Below are examples of a [3,3] sigmatropic shift in 1,5-hexadiene, referred to as...

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

Nonequilibrium dynamics of the helix-coil transition in polyalanine.

The Journal of chemical physics·2025
Same author

Nonuniversality of Aging during Phase Separation of the Two-Dimensional Long-Range Ising Model.

Physical review letters·2024
Same author

Partition Function Zeros of the Frustrated <i>J</i><sub>1</sub>-<i>J</i><sub>2</sub> Ising Model on the Honeycomb Lattice.

Entropy (Basel, Switzerland)·2024
Same author

Pulling on grafted flexible polymers can cause twisted bundles.

Soft matter·2024
Same author

Aging following a zero-temperature quench in the d=3 Ising model.

Physical review. E·2024
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 27, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Parallel-tempering cluster algorithm for computer simulations of critical phenomena.

Elmar Bittner1, Wolfhard Janke

  • 1Institut für Theoretische Physik and Centre for Theoretical Sciences (NTZ), Universität Leipzig, Postfach 100 920, D-04009 Leipzig, Germany. E.Bittner@thphys.uni-heidelberg.de

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 9, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient Monte Carlo simulation method combining parallel tempering with cluster updates for analyzing critical phenomena. The new approach significantly enhances performance for studying phase transitions in Ising models.

More Related Videos

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches
05:56

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

Published on: October 13, 2022

Related Experiment Videos

Last Updated: May 27, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches
05:56

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

Published on: October 13, 2022

Area of Science:

  • Computational Physics
  • Statistical Mechanics
  • Critical Phenomena

Background:

  • Finite-size scaling analyses of second-order phase transitions require extended temperature ranges.
  • Standard simulation methods can be computationally intensive for exploring critical regions.

Purpose of the Study:

  • To develop a more efficient and flexible method for Monte Carlo simulations of critical phenomena.
  • To improve the performance of simulations for finite-size scaling analyses.

Main Methods:

  • Combined parallel-tempering algorithm with cluster updates.
  • Incorporated an adaptive routine to identify the critical temperature window.
  • Applied the method to two- and three-dimensional Ising models.

Main Results:

  • Achieved a performance increase of one to two orders of magnitude.
  • Outperformed the Wang-Landau recursion method for cluster algorithms.
  • Demonstrated significant improvement over standard multicanonical methods.

Conclusions:

  • The proposed method offers a powerful and flexible approach for systematic investigations of critical phenomena.
  • This advancement greatly accelerates the study of phase transitions in statistical physics models.