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

Dimensionless Groups in Fluid Mechanics

Dimensionless Groups in Fluid Mechanics

Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...

Lattice Centering and Coordination Number

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Typical Model Studies

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

Trends in Lattice Energy: Ion Size and Charge

Trends in Lattice Energy: Ion Size and Charge

An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:

Fluid Mosaic Model

Fluid Mosaic Model

The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.LipidsThe most...

You might also read

Related Articles

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

Sort by

Same author

Polymer models with competing collapse interactions on Husimi and Bethe lattices.

Physical review. E·2016

Same author

Chemically controlled unfolding of a RNA-like polymer model.

Physical review. E, Statistical, nonlinear, and soft matter physics·2012

Same author

Revisiting waterlike network-forming lattice models.

The Journal of chemical physics·2009

Same author

Low-temperature-induced swelling of a hydrophobic polymer: a lattice approach.

The Journal of chemical physics·2007

Same author

RNA-like polymer model: exact calculation on the Bethe lattice.

Physical review. E, Statistical, nonlinear, and soft matter physics·2007

Same author

Hydration of an apolar solute in a two-dimensional waterlike lattice fluid.

Physical review. E, Statistical, nonlinear, and soft matter physics·2005

Search research articles

Related Experiment Video

Updated: Jul 3, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Cluster-variation approximation for a network-forming lattice-fluid model.

C Buzano¹, E De Stefanis, M Pretti

¹Dipartimento di Fisica and CNISM, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy.

The Journal of Chemical Physics

|July 16, 2008

Summary

This study introduces a cluster-variation technique to model network-forming fluids, successfully reproducing thermodynamic properties and phase transitions. The model reveals new ordered phases and critical transitions, explaining anomalies observed in simulations.

More Related Videos

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Published on: May 14, 2016

Related Experiment Videos

Last Updated: Jul 3, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Published on: May 14, 2016

Area of Science:

Statistical Mechanics
Physical Chemistry
Computational Physics

Background:

Network-forming fluids, like water, exhibit anomalous thermodynamic behavior.
Previous studies utilized Monte Carlo simulations to investigate these properties.

Purpose of the Study:

To develop a semianalytical method to model network-forming fluids.
To describe water anomalies using a three-dimensional lattice model.
To compare the results with existing Monte Carlo simulations.

Main Methods:

Approximate semianalytical calculation using a cluster-variation technique.
Modeling a three-dimensional lattice of a network-forming fluid.
Analysis of thermodynamic properties and phase transitions.

Main Results:

The cluster-variation technique quantitatively reproduces Monte Carlo simulation results.
Identified two distinct phases with long-range orientational order.
Discovered critical transitions between ordered and disordered phases.
Explained "kinks" in isotherms and isobars through critical lines.

Conclusions:

The cluster-variation method provides a powerful tool for studying network-forming fluids.
The model reveals a complex phase diagram with multiple ordered phases.
While insightful, the model's suitability for describing real water is limited.