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

Molecular Models02:00

Molecular Models

44.3K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
44.3K
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.8K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
5.8K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

3.0K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
3.0K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

20.5K
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...
20.5K
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

63.6K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
63.6K
Molecular Comparison of Gases, Liquids, and Solids02:26

Molecular Comparison of Gases, Liquids, and Solids

56.5K
Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
56.5K

You might also read

Related Articles

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

Sort by
Same author

Electro-wetting behavior of an imidazolium-based hydrophilic ionic liquid on a rough surface: a molecular dynamics study.

Physical chemistry chemical physics : PCCP·2026
Same author

Valorization of glycerol via continuous etherification with ethanol: Thermodynamic modeling and process optimization.

Waste management (New York, N.Y.)·2026
Same author

Correction to "Tuning the Directional Solubility of Ionic Liquids through Multicomponent Ions for Low-Temperature Desalination".

Journal of the American Chemical Society·2026
Same author

Single-Particle Insights Into the Electronic Structure and Enhanced Stability of CsPbBr<sub>3</sub>/FAPbBr<sub>3</sub> Core/Crown Nanoplatelets at the Nanometer Scale.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Elucidating the Solvent-Dependent Solvation and Structural Stability of Irinotecan: A Molecular Simulation Study.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026
Same author

Ionic Liquid-Enhanced Interfaces to Boost Reactive CO<sub>2</sub> Capture.

The journal of physical chemistry. B·2026

Related Experiment Video

Updated: Mar 3, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.6K

Cassandra: An open source Monte Carlo package for molecular simulation.

Jindal K Shah1, Eliseo Marin-Rimoldi2, Ryan Gotchy Mullen2

  • 1School of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma, 74078.

Journal of Computational Chemistry
|April 25, 2017
PubMed
Summary

Cassandra is an open-source Monte Carlo simulation package for modeling thermodynamic properties of materials. It details algorithms, implementation, and provides examples for users.

Keywords:
Monte Carloatomistic simulationmolecular modelingopen source softwarethermodynamics

More Related Videos

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

1.9K
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

13.4K

Related Experiment Videos

Last Updated: Mar 3, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.6K
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

1.9K
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

13.4K

Area of Science:

  • Computational physics and chemistry
  • Materials science and engineering

Background:

  • Introduction to Cassandra, an open-source atomistic Monte Carlo software package.
  • Focus on simulating thermodynamic properties of fluids and solids.

Discussion:

  • Detailed description of features and algorithms within Cassandra.
  • Explanation of implementation details and theoretical underpinnings.
  • Presentation of benchmark and example calculations.

Key Insights:

  • Cassandra effectively simulates thermodynamic properties.
  • Provides comprehensive documentation on its methods.
  • Offers practical examples for user application.

Outlook:

  • Information on obtaining the Cassandra package.
  • Guidelines for user contributions to the software.
  • Potential for broader adoption in materials simulation.