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

Energetics of Solution Formation02:35

Energetics of Solution Formation

6.7K
The formation of a solution is an example of a spontaneous process, which is a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Formation of the solution requires the solute–solute and solvent–solvent...
6.7K
Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

32.7K
The formation of a solution is an example of a spontaneous process, a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Such a solution is called an ideal solution. A mixture of ideal gases (or gases such as helium and argon,...
32.7K
Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

4.0K
The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place,...
4.0K
Aqueous Solutions and Heats of Hydration02:42

Aqueous Solutions and Heats of Hydration

14.2K
Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
14.2K
Solvating Effects02:12

Solvating Effects

7.2K
An understanding of the solvating effect helps rationalize the relation between solvation and acidity of the compound. In addition, this also explains the relative stability of conjugate bases for compounds with different pKa values. This lesson details, in-depth, the principle of solvating effects. The strength of an acid and the stability of its corresponding conjugate base are determined using pKa values. This observed relationship is a consequence of solvation, which is the interaction...
7.2K
Intermolecular Forces03:13

Intermolecular Forces

56.2K
Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
56.2K

You might also read

Related Articles

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

Sort by
Same author

Sequence-Dependent Folding of Recognition-Encoded Melamine Oligomers.

Journal of the American Chemical Society·2026
Same author

Negative cooperativity in the formation of two H-bonds with an oxygen H-bond acceptor.

Chemical science·2026
Same author

Paraspeckle condensation is controlled via TDP-43 polymerization and linked to neuroprotection.

Nature cell biology·2026
Same author

Prediction of Protein-Ligand Binding Affinities Using Atomic Surface Site Interaction Points.

Journal of chemical information and modeling·2026
Same author

Template-directed ligation of recognition-encoded melamine oligomers.

Chemical science·2025
Same author

Supramolecular assembly properties of a mixed-sequence recognition-encoded melamine oligomer.

Organic & biomolecular chemistry·2025
Same journal

Quantum simulations of the ballistic motion of a surface adsorbate.

Physical chemistry chemical physics : PCCP·2026
Same journal

Enhancement of triplet-triplet annihilation upconversion in organically modified clay colloids.

Physical chemistry chemical physics : PCCP·2026
Same journal

What is so special about benzene? A comparison of selected carbon and silicon isomers E<sub>6</sub>H<sub>6</sub> (E = C, Si).

Physical chemistry chemical physics : PCCP·2026
Same journal

Synergistic effects of porosity and sulfur doping on hard carbon for superior sodium-ion storage.

Physical chemistry chemical physics : PCCP·2026
Same journal

Force-resolved and recurrence-based identification of dynamical heterogeneity in liquid water.

Physical chemistry chemical physics : PCCP·2026
Same journal

Thermoelectric properties of layered Bi<sub>2</sub>YO<sub>4</sub>Br: a cageless rattler host structure.

Physical chemistry chemical physics : PCCP·2026
See all related articles

Related Experiment Video

Updated: May 15, 2025

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

12.7K

Solvation energies from atomic surface site interaction points.

Emily Gross1, Mark D Driver2, Areesha Saif2

  • 1Department of Chemistry, University of Regensburg, Universitaetsstrasse 31, 93053 Regensburg, Germany.

Physical Chemistry Chemical Physics : PCCP
|April 9, 2025
PubMed
Summary
This summary is machine-generated.

The Surface Site Interaction Model for Liquids at Equilibrium (SSIMPLE) now accounts for temperature variations in fluid phase thermodynamic properties. This enhanced model accurately predicts liquid densities and vapor-liquid equilibria for various compounds.

More Related Videos

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

8.1K
Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.6K

Related Experiment Videos

Last Updated: May 15, 2025

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

12.7K
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

8.1K
Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.6K

Area of Science:

  • Physical Chemistry
  • Computational Chemistry

Background:

  • Thermodynamic properties of fluids are crucial for chemical engineering processes.
  • Existing models often struggle to accurately capture temperature-dependent behaviors.
  • Non-covalent interactions play a significant role in molecular interactions within fluid phases.

Purpose of the Study:

  • To generalize the Surface Site Interaction Model for Liquids at Equilibrium (SSIMPLE) for temperature-dependent calculations.
  • To develop a model for fluid phase density based on intermolecular interactions.
  • To assess SSIMPLE's ability to predict association constants and vapor-liquid equilibria across temperatures.

Main Methods:

  • Generalized the SSIMPLE model to include temperature-dependent polar interactions.
  • Developed an expansion energy concept based on net intermolecular Surface Site Interaction Point (SSIP) interactions.
  • Utilized the atomic interaction point (AIP) version of SSIP for 171 compounds.
  • Validated against experimental data for association constants and vapor-liquid equilibria (VLE) of binary mixtures.

Main Results:

  • The non-polar interaction term in SSIMPLE is temperature-independent, while the polar term is temperature-dependent.
  • The generalized SSIMPLE model accurately predicts the temperature dependence of association constants for H-bonded complexes.
  • Calculated room temperature liquid densities using the AIP-SSIP description showed good agreement with experimental data.
  • SSIMPLE successfully reproduced experimental vapor-liquid equilibria for 196 binary mixtures.

Conclusions:

  • The generalized SSIMPLE model provides a robust framework for calculating temperature-dependent thermodynamic properties of fluids.
  • SSIMPLE accurately models both liquid phase properties (density, association constants) and vapor-liquid equilibria.
  • The model's ability to handle non-covalent interactions makes it versatile for various fluid systems.