Ensemble Monte Carlo with Poisson solver for the study of current fluctuations in homogeneous GaAs structures

1993 ◽  
Vol 73 (11) ◽  
pp. 7453-7464 ◽  
Author(s):  
T. González ◽  
D. Pardo
Keyword(s):  
Monte Carlo ◽  
Current Fluctuations ◽  
Ensemble Monte Carlo ◽  
Poisson Solver

INFLUENCE OF DENSITY, OCCUPANCY AND LOCATION OF ELECTRON TRAPS ON SHOT NOISE IN NONDEGENERATE QUASIBALLISTIC TRANSPORT

2002 ◽  
Vol 02 (03) ◽  
pp. L243-L251 ◽  
Author(s):  
B. G. VASALLO ◽  
J. MATEOS ◽  
D. PARDO ◽  
T. GONZÁLEZ
Keyword(s):  
Monte Carlo ◽  
Active Region ◽  
Shot Noise ◽  
Noise Level ◽  
Current Fluctuations ◽  
Potential Minimum ◽  
Ensemble Monte Carlo ◽  
Poisson Solver ◽  
Monte Carlo Simulator ◽  
Ballistic Case

An ensemble Monte Carlo simulator self-consistently coupled with a Poisson solver is used to study the influence of the density, occupancy and location of electrons traps on the current fluctuations in nondegenerate quasiballistic structures. Transport and noise are found to depend significantly on the density and location of the traps. In particular, the presence of traps increases the noise level as compared with the purely ballistic case. The nonuniformity of the trap occupancy profiles along the active region of the structures affects markedly (specially for low trap densities) the dependence of shot noise on the applied voltage. The location of the traps with respect to the potential minimum appearing in the structures because of the presence of space charge determines their influence on the noise level, fact which can be of help to identify the trap position.

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

scholarly journals Optimized ensemble Monte Carlo simulations of dense Lennard-Jones fluids

2005 ◽  
Vol 123 (20) ◽  
pp. 204501 ◽  
Author(s):  
Simon Trebst ◽  
Emanuel Gull ◽  
Matthias Troyer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ensemble Monte Carlo ◽  
Lennard Jones

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.

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