Related Experiment Video
Updated: May 20, 2026

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
Published on: December 3, 2018
Up to fourth virial coefficients from simple and efficient internal-coordinate sampling: application to neon.
Jonas Wiebke1, Elke Pahl, Peter Schwerdtfeger
1Centre for Theoretical Chemistry and Physics, The New Zealand Institute for Advanced Study, Massey University Albany, Private Bag 102904, Auckland 0745, New Zealand. j.wiebke@massey.ac.nz
A new Monte Carlo method efficiently calculates virial coefficients for atomic systems. This approach accurately predicts neon
Area of Science:
- Computational Chemistry
- Statistical Mechanics
- Atomic Physics
Background:
- Virial coefficients are essential for understanding the equation of state of gases.
- Accurate computation of higher-order virial coefficients is computationally demanding.
- Existing methods struggle with efficiency and accuracy for complex atomic systems.
Purpose of the Study:
- To develop a simple and efficient internal-coordinate importance sampling protocol for Monte Carlo computation of virial coefficients.
- To apply the protocol to calculate second, third, and fourth virial coefficients of neon.
- To assess the significance of four-body contributions and quantum corrections.
Main Methods:
- Proposed a multivariate sampling distribution mimicking the pairwise-additive structure of virial coefficients.
- Employed internal-coordinate importance sampling for Monte Carlo simulations.
- Calculated virial coefficients and equation-of-state data using ab initio potentials for neon.
Main Results:
- The proposed sampling scheme is competitive with routine numerical methods.
- Second, third, and fourth virial coefficients for neon were computed.
- Four-body contributions were found to be insignificant for neon.
- First-order Kirkwood-Wigner quantum corrections were crucial for agreement with experimental data.
Conclusions:
- The developed Monte Carlo protocol offers an efficient and accurate method for computing virial coefficients.
- Quantum corrections are vital for precise predictions, especially at higher temperatures.
- The method shows promise for broader applications in atomic and molecular systems.
More Related Videos
12:11Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
08:54Vibrational 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
Related Concept Videos
Heat Capacities of an Ideal Gas III
Real Gases: Effects of Intermolecular Forces and Molecular Volume Deriving Van der Waals Equation
Maxwell-Boltzmann Distribution: Problem Solving
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
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Heat Capacities of an Ideal Gas II
Atomic Radii and Effective Nuclear Charge