An improved statistical analysis for predicting the critical temperature and critical density with Gibbs ensemble Monte Carlo simulation

2015 ◽  
Vol 143 (10) ◽  
pp. 104101 ◽  
Author(s):  
Richard A. Messerly ◽  
Richard L. Rowley ◽  
Thomas A. Knotts ◽  
W. Vincent Wilding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Statistical Analysis ◽  
Critical Temperature ◽  
Critical Density ◽  
Gibbs Ensemble ◽  
Ensemble Monte Carlo ◽  
Ensemble Monte Carlo Simulation ◽  
Gibbs Ensemble Monte Carlo

Gibbs-ensemble Monte Carlo simulation of H2−He mixtures

2021 ◽  
Vol 103 (1) ◽  
Author(s):  
Armin Bergermann ◽  
Martin French ◽  
Manuel Schöttler ◽  
Ronald Redmer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Gibbs Ensemble ◽  
Ensemble Monte Carlo ◽  
Ensemble Monte Carlo Simulation ◽  
Gibbs Ensemble Monte Carlo

Gibbs-ensemble Monte Carlo simulation of H2–H2O mixtures

2021 ◽  
Author(s):  
Armin Bergermann ◽  
Martin French ◽  
Ronald Redmer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Giant Planets ◽  
Gibbs Ensemble ◽  
Miscibility Gap ◽  
Ensemble Monte Carlo ◽  
Ensemble Monte Carlo Simulation ◽  
Gibbs Ensemble Monte Carlo

The miscibility gap in H2–H2O mixtures is investigated by conducting Gibbs-ensemble Monte Carlo simulations. Our results indicate that H2–H2O immiscibility regions may have a significant impact on the structure and evolution of ice giant planets.

Sign in / Sign up

Export Citation Format

Share Document