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

Boundary Conditions for Current Density01:25

Boundary Conditions for Current Density

Current density becomes discontinuous across an interface of materials with different electrical conductivities. The normal component of the current density is continuous across the boundary.
Thermodynamic Potentials01:26

Thermodynamic Potentials

Thermodynamic potentials are state functions that are extremely useful in analyzing a thermodynamic system. They have dimensions of energy. The four important thermodynamic potentials are internal energy, enthalpy, Helmholtz free energy, and Gibbs free energy. These thermodynamic potentials can be expressed using two of the following variables: pressure, volume, temperature, and entropy. These two variables are expressed as the rate of change of the thermodynamic potential with respect to other...
Electrochemical Systems01:24

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...
The Thermodynamics of Mixing01:28

The Thermodynamics of Mixing

Mixing is a fascinating phenomenon in thermodynamics, particularly when considering the Gibbs energy of a mixture at constant temperature and pressure. This energy, denoted as G, tends to decrease during spontaneous mixing processes, offering insights into the composition changes that occur.Imagine two ideal gases, initially separated in different containers, with amounts nA and nB, respectively, both at a temperature T and pressure p. The chemical potentials of these gases have their 'pure'...
The Zeroth Law of Thermodynamics01:14

The Zeroth Law of Thermodynamics

Systems in mechanical equilibrium exert equal pressure on the separating wall. Similarly, systems in thermal equilibrium share a common thermodynamic property: temperature.Temperature is a measure of the average kinetic energy of particles within a system. More generally, it reflects the internal energy state of the system. The higher the temperature, the more energy a system has, given that other variables, such as volume and pressure, remain constant. However, temperature is not a form of...
Absolute Entropies and the Third Law of Thermodynamics01:23

Absolute Entropies and the Third Law of Thermodynamics

Ludwig Edward Boltzmann developed a definition for entropy, which stated that absolute entropy is proportional to the natural logarithm of the number of possible combinations of particles. Entropy stands alone among state functions as the only one whose absolute values can be determined.Consider a gas sample confined to a container. As the container expands, the energy levels of gas molecules become more closely spaced. This increases the number of available energy states, thereby increasing...

You might also read

Related Articles

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

Sort by
Same author

The neuroanatomy of depression: weak but replicable effects in 4021 individuals from three clinical cohorts.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

A Nanothermodynamic Approach to the Shuttleworth and Lippman Equations.

Entropy (Basel, Switzerland)·2026
Same author

From interface dynamics to Darcy scale description of multiphase flow in porous media.

Advances in colloid and interface science·2026
Same author

Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory.

The journal of physical chemistry. B·2026
Same author

The involvement of endogenous brain rhythms in speech processing.

Neuroscience and biobehavioral reviews·2026
Same author

Metaplasticity in swallowing system via cross-modal neurostimulation: A randomized crossover trial with magnetoencephalography.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics·2026

Related Experiment Video

Updated: Jun 27, 2026

Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry
16:11

Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry

Published on: June 8, 2022

Nonequilibrium thermodynamics of interfaces using classical density functional theory.

Eivind Johannessen1, Joachim Gross, Dick Bedeaux

  • 1Department of Chemistry, Norwegian University of Science and Technology, N-7491 Trondheim, Norway.

The Journal of Chemical Physics
|December 3, 2008
PubMed
Summary

This study uses classical density functional theory to calculate vapor-liquid interface properties. The findings provide accurate temperature-dependent interfacial resistivities for heat and mass transfer.

More Related Videos

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

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

Related Experiment Videos

Last Updated: Jun 27, 2026

Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry
16:11

Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry

Published on: June 8, 2022

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

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

Area of Science:

  • Thermodynamics
  • Interfacial Phenomena
  • Computational Physics

Background:

  • Vapor-liquid interfaces present resistances to heat and mass transfer.
  • Previous models like van der Waals square gradient lack quantitative experimental comparison.
  • Molecular simulations offer insights but require theoretical validation.

Purpose of the Study:

  • To determine equilibrium profiles of vapor-liquid interfaces using classical density functional theory (DFT).
  • To establish a framework within non-equilibrium thermodynamics for calculating interfacial resistivities.
  • To relate various interfacial resistivities to a single local thermal resistivity.

Main Methods:

  • Application of classical density functional theory (DFT) to model vapor-liquid interfaces.
  • Utilizing equilibrium profiles within non-equilibrium thermodynamics.
  • Deriving integral relations to connect different interfacial resistivities.

Main Results:

  • Classical DFT successfully determines equilibrium vapor-liquid interface profiles.
  • Interfacial resistivities for heat, mass, and coupled transfer are linked to local thermal resistivity.
  • Accurate description of temperature-dependent behavior for all interfacial resistivities.

Conclusions:

  • Classical DFT provides a robust method for quantifying interfacial transport properties.
  • A unified approach relating different interfacial resistivities is established.
  • The model accurately predicts the temperature dependence of interfacial resistivities.