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

Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

41.0K
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,...
41.0K
Aqueous Solutions and Heats of Hydration02:42

Aqueous Solutions and Heats of Hydration

18.9K
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...
18.9K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

1.1K
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
1.1K
Liquid–Solid Solutions01:29

Liquid–Solid Solutions

95
The process of a solid dissolving in a liquid to form a solution is governed by the solubility limit, which is the maximum amount of the solid substance, or solute, that can be dissolved in a specific volume of the liquid or solvent. As the solute dissolves, it reaches a point where no more solute can be dissolved at a given temperature - this is known as the saturation point. However, if further solute is added and it manages to dissolve, the solution becomes supersaturated. Supersaturated...
95
Nonideal Two-Component Liquid Solutions01:29

Nonideal Two-Component Liquid Solutions

94
Nonideal liquid solutions, also known as real solutions, do not strictly follow Raoult's law. Raoult's law is a rule of thumb in physical chemistry. However, not all mixtures adhere to this law due to varying molecular interactions. For example, in an acetone/chloroform solution, the individual vapor pressures of the components are lower than expected, resulting in a total vapor pressure below that predicted by Raoult's law, causing a negative deviation.On the other hand, in an ethanol/water...
94
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

2.6K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Mangiferin as a Polyphenolic Scaffold for Enzyme Targeted Molecular Regulation of Carbohydrate Hydrolyzing Enzymes in Diabetes Management.

Applied biochemistry and biotechnology·2026
Same author

Disentangling Intrachain Folding from Interchain Assembly through Multidimensional Visualization.

The journal of physical chemistry. B·2026
Same author

Mechanism of Aggregation of the NACore of α-Synuclein: Stable Oligomer Formation Competes with Fibril Formation with Implications for the Etiology of Parkinson's Disease.

Journal of the American Chemical Society·2026
Same author

Linking Electrostatic-Induced Chain Stiffening to Heat Flow in Amorphous Polymers.

ACS macro letters·2026
Same author

Memory effects in contact line friction.

The Journal of chemical physics·2026
Same author

Thermoresponsivity and cononsolvency of a minimal polymer model in mixed solvents.

The Journal of chemical physics·2026

Related Experiment Video

Updated: Mar 29, 2026

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

13.5K

Kirkwood-Buff Coarse-Grained Force Fields for Aqueous Solutions.

Pritam Ganguly1, Debashish Mukherji2, Christoph Junghans2,3

  • 1Center of Smart Interfaces, Technische Universität Darmstadt, Petersenstrasse 32, 64287 Darmstadt, Germany.

Journal of Chemical Theory and Computation
|November 24, 2015
PubMed
Summary
This summary is machine-generated.

We developed a coarse-graining method for liquid mixtures that maintains molecular structure and solvation properties. This approach enables accurate simulations of complex solutions like urea-water mixtures up to 8 M concentration.

More Related Videos

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.4K
15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

6.3K

Related Experiment Videos

Last Updated: Mar 29, 2026

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

13.5K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.4K
15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

6.3K

Area of Science:

  • Computational chemistry
  • Materials science
  • Statistical mechanics

Background:

  • Coarse-graining simplifies complex molecular systems for simulations.
  • Accurate representation of liquid mixtures, especially at high concentrations, remains challenging.
  • Existing methods may not fully capture solvation effects and structural details.

Purpose of the Study:

  • To develop a systematic coarse-graining approach for liquid mixtures.
  • To preserve pair-level liquid structure and solvation free energy dependence on composition.
  • To create transferable coarse-grained models for urea-water and benzene-water systems.

Main Methods:

  • Utilized fluctuation solution theory (Kirkwood and Buff) combined with iterative Boltzmann inversion.
  • Developed coarse-grained potentials for urea-water mixtures at various concentrations.
  • Tested model transferability across different concentration windows.

Main Results:

  • The unified framework successfully preserves liquid structure and solvation properties.
  • Coarse-grained potentials for urea-water were developed, extending simulations to 8 M.
  • Single-site models for urea and water showed transferability within approximately 2 M concentration windows.

Conclusions:

  • The presented approach offers a robust method for coarse-graining liquid mixtures.
  • The developed models are applicable to coarse-grained biomolecular simulations.
  • This work advances the simulation accuracy of concentrated solutions.