A Monte Carlo study of low-energy oxygen implants into amorphous tin. Competition between stoichiometry requirements and implant capabilities

2000 ◽  
Vol 170 (3-4) ◽  
pp. 389-396 ◽  
Author(s):  
A.M Mazzone
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Low Energy

Dosimetric impact of dual-energy CT tissue segmentation for low-energy prostate brachytherapy: a Monte Carlo study

2018 ◽  
Vol 63 (2) ◽  
pp. 025013 ◽  
Author(s):  
Charlotte Remy ◽  
Arthur Lalonde ◽  
Dominic Béliveau-Nadeau ◽  
Jean-François Carrier ◽  
Hugo Bouchard
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Dual Energy ◽  
Low Energy ◽  
Dual Energy Ct ◽  
Prostate Brachytherapy ◽  
Tissue Segmentation

Dosimetric Impact of Tissue Heterogeneity in Low Energy Accelerated Partial Breast Irradiation: A Monte Carlo Study

Brachytherapy ◽  
2013 ◽  
Vol 12 ◽  
pp. S46
Author(s):  
Shane White ◽  
Guillaume Landry ◽  
Randall W. Holt ◽  
Thomas Rusch ◽  
Luc Beaulieu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Low Energy ◽  
Accelerated Partial Breast Irradiation ◽  
Partial Breast Irradiation ◽  
Breast Irradiation ◽  
Tissue Heterogeneity

scholarly journals Monte Carlo Study of a Liquid-Liquid Phase Transition Using a Modified Gibbs Ensemble

2020 ◽  
Author(s):  
Douglas Barlow
Keyword(s):  
Monte Carlo ◽  
Critical Temperature ◽  
Monte Carlo Study ◽  
Low Energy ◽  
Gibbs Ensemble ◽  
Two Component System ◽  
Liquid Phase Transition ◽  
Solution Type ◽  
Two Component ◽  
Simulation Results

<div>The carbon disulfide-methanol liquid-liquid critical point is studied using a Monte</div><div>Carlo simulation of classical Stockmayer particles. A low energy configuration for the segregated</div><div>two component system is determined using standard Monte Carlo methods then a modified</div><div>Gibbs ensemble is employed to study the effect of transferring particles from one phase to</div><div>another. Rather than use the model for the entropy of mixing in the Gibbs ensemble, which is</div><div>of the regular solution type, a semi-quasi-chemical model is used which involves an interaction</div><div>energy. We are able to simulate the mixing of the two components as the temperature approaches</div><div>the critical temperature from below. Further, a method is given whereby the simulation results</div><div>can be used to predict the critical temperature.</div>

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