Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Population Growth

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

Accelerators

Accelerators

Accelerators in concrete serve as admixtures to speed up the hardening process, enabling the concrete to achieve early strength faster. Although accelerators do not necessarily impact the time it takes concrete to set, they reduce this time in practice. A common accelerator is calcium chloride, which is particularly useful for hastening early strength development in cold weather or for rapid repair jobs that require quick heat generation after mixing.
The effectiveness of calcium chloride can...

Conservation of Small Populations

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...

What is Population Genetics?

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.

Accelerating Fluids

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:

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

Cluster percolation and dynamical scaling in the Baxter-Wu model.

Physical review. E·2026

Same author

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

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

Same author

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

Physical review letters·2024

Same journal

Erratum: Spectroscopy and Ground-State Transfer of Ultracold Bosonic ^{39}K^{133}Cs Molecules [Phys. Rev. Lett. 135, 203401 (2025)].

Physical review letters·2026

Same journal

Erratum: Lifetime of the ^{2}F_{7/2} Level in Yb^{+} for Spontaneous Emission of Electric Octupole Radiation [Phys. Rev. Lett. 127, 213001 (2021)].

Physical review letters·2026

Same journal

Laser-Plasma Based Seeded Free Electron Laser in the High-Gain Regime.

Physical review letters·2026

Same journal

Parent Hamiltonians for Stabilizer Quantum Many-Body Scars.

Physical review letters·2026

Same journal

Properties of Heavy Cosmic Nuclei Phosphorus, Chlorine, Argon, Potassium, and Calcium: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2026

Same journal

Role of Spin-Isospin Symmetries in Nuclear β-Decays.

Physical review letters·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 28, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Accelerating Molecular Dynamics Simulations with Population Annealing.

Henrik Christiansen¹, Martin Weigel², Wolfhard Janke¹

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

Physical Review Letters

|March 2, 2019

Summary

This summary is machine-generated.

Population annealing accelerates molecular dynamics simulations, matching parallel tempering performance. This method uniquely scales to many processors for complex computational problems.

More Related Videos

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Published on: April 26, 2024

Related Experiment Videos

Last Updated: Jan 28, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function

Published on: April 26, 2024

Area of Science:

Computational chemistry
Biophysics
Materials science

Background:

Large-scale Monte Carlo simulations benefit from population annealing.
Molecular dynamics simulations face challenges in computational cost for complex systems.
Algorithm performance evaluation often uses peptide folding simulations.

Purpose of the Study:

To adapt population annealing for molecular dynamics simulations.
To evaluate the accelerating effect of population annealing in molecular dynamics.
To compare population annealing with parallel tempering for computational efficiency.

Main Methods:

Population annealing algorithm adapted for molecular dynamics.
Simulation of a standard short peptide for algorithm benchmarking.
Comparison with parallel tempering on identical computational resources.

Main Results:

Population annealing demonstrates significant acceleration in molecular dynamics simulations.
Performance is comparable to parallel tempering for equivalent computational resources.
The method exhibits excellent scalability with an increasing number of parallel processors.

Conclusions:

Population annealing is an effective tool for accelerating molecular dynamics simulations.
Its superior scalability makes it suitable for massively parallel supercomputing environments.
Enables tackling complex computational problems previously limited by resources.