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

Mechanisms of Heat Transfer II01:20

Mechanisms of Heat Transfer II

In convection, thermal energy is carried by the large-scale flow of matter. Ocean currents and large-scale atmospheric circulation, which result from the buoyancy of warm air and water, transfer hot air from the tropics toward the poles and cold air from the poles toward the tropics. The Earth’s rotation interacts with those flows, causing the observed eastward flow of air in the temperate zones. Convection dominates heat transfer by air, and the amount of available space for the airflow...
Mechanisms of Heat Transfer I01:14

Mechanisms of Heat Transfer I

Just as interesting as the effects of heat transfer on a system are the methods by which the heat transfer occur. Whenever there is a temperature difference, heat transfer occurs. It may occur rapidly, such as through a cooking pan, or slowly, such as through the walls of a picnic ice box. So many processes involve heat transfer that it is hard to imagine a situation where no heat transfer occurs. Yet, every heat transfer takes place by only three methods: conduction, convection, and radiation.
Mechanisms of Heat Transfer01:14

Mechanisms of Heat Transfer

Heat transfer between the human body and its environment occurs through four main mechanisms: conduction, convection, radiation, and evaporation.
Conduction, accounting for approximately 3% of body heat loss at rest, is the process of exchanging heat between molecules of two materials in direct contact. This can result in both heat loss and gain. For instance, when the body is submerged in water, which conducts heat 20 times more effectively than air, it can either lose or gain significant heat.
Mechanism of heat transfer01:19

Mechanism of heat transfer

Understanding heat transfer mechanisms is essential for understanding how our bodies maintain balance in different environmental conditions. When the environment is thermoneutral, the body is in a state of balance, neither using nor releasing energy to maintain its core temperature. However, when the environment is not thermoneutral, the body employs four heat transfer mechanisms to maintain homeostasis: conduction, convection, evaporation, and radiation. These mechanisms facilitate heat...
Specific Heat01:16

Specific Heat

The specific heat capacity of a substance refers to the energy required to increase the temperature of one gram of that substance by one degree Celcius. Specific heat capacity is often represented in calories (cal), grams (g), and degrees Celsius (oC), but can also be expressed in joules (J), kilograms (kg), and Kelvin (K), among other units.
For example, increasing the temperature of one gram of water by 1°C requires one calorie of heat energy and can be written as 1 cal/g-°C, or 4186 J/kg/K.
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...

You might also read

Related Articles

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

Sort by
Same author

Direct nonequilibrium molecular dynamics simulation of diffusio-osmotic flow in nanopores.

Journal of colloid and interface science·2026
Same author

De novo generation and in silico screening of anti-diabetic peptide candidates via a deep learning-attention framework with physicochemical feature fusion.

Scientific reports·2026
Same author

Fullerene C60 in dental materials: a comprehensive review of carbon nanotechnology applications and future prospects.

Journal of materials science. Materials in medicine·2026
Same author

Development of Electrospun Nanofibers Containing Layered Double Hydroxide/Coumarin Nanohybrid for Potential Wound Healing.

Journal of biomedical materials research. Part B, Applied biomaterials·2026
Same author

Anticancer efficacy of albumin nanoparticles co-loaded with silver nanoparticles and 5FU in animal model of colon cancer.

Scientific reports·2025
Same author

Automated drug design for druggable target identification using integrated stacked autoencoder and hierarchically self-adaptive optimization.

Scientific reports·2025

Related Experiment Video

Updated: Jun 9, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

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

Published on: September 17, 2021

Molecular dynamics simulation with weak coupling to heat and material baths.

Hossein Eslami1, Fatemeh Mojahedi, Jalil Moghadasi

  • 1Department of Chemistry, College of Sciences, Persian Gulf University, Boushehr 75168, Iran. heslami@pgu.ac.ir

The Journal of Chemical Physics
|September 7, 2010
PubMed
Summary

A novel molecular dynamics simulation method enables accurate predictions in the grand canonical ensemble. This approach extends existing techniques to model systems with varying particle numbers, crucial for chemical potential and phase behavior studies.

More Related Videos

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

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: Jun 9, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

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

Published on: September 17, 2021

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

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 Chemistry
  • Statistical Mechanics
  • Physical Chemistry

Background:

  • Molecular dynamics (MD) simulations are essential for understanding molecular behavior.
  • Simulating systems in the grand canonical ensemble (GCE) is challenging due to the variable number of particles.

Purpose of the Study:

  • To develop a new MD method for simulations in the GCE.
  • To accurately predict thermodynamic properties and phase behavior of fluids.

Main Methods:

  • Extension of the Berendsen coupling method for MD simulations.
  • Introduction of a fractional particle with a dynamically scaled interaction potential.
  • Application of a nonlinear scaling scheme for potential energy.

Main Results:

  • Successfully predicted the density of compressed Lennard-Jones fluid across various temperatures and densities.
  • Accurately determined the vapor-liquid phase coexistence point for water.
  • Achieved results consistent with established literature values.

Conclusions:

  • The developed MD method is effective for GCE simulations.
  • The approach accurately models fluid properties and phase transitions.
  • This method offers a robust tool for computational studies in physical chemistry.