Molecular Siting of C1–C6 n-Alkanes in ZIF-4: A Hybrid Monte Carlo Study

2021 ◽  
Author(s):  
Arun Gopalan ◽  
Randall Q. Snurr
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Hybrid Monte Carlo

scholarly journals Impact of spherical applicator diameter on relative biologic effectiveness of low energy IORT X-rays: A hybrid Monte Carlo study

2020 ◽  
Vol 80 ◽  
pp. 297-307
Author(s):  
Reza Shamsabadi ◽  
Hamid Reza Baghani ◽  
Behnam Azadegan ◽  
Ali Asghar Mowlavi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Low Energy ◽  
X Rays ◽  
Hybrid Monte Carlo ◽  
Relative Biologic Effectiveness

scholarly journals Hybrid Monte Carlo study of monolayer graphene with partially screened Coulomb interactions at finite spin density

2017 ◽  
Vol 96 (19) ◽  
Author(s):  
Michael Körner ◽  
Dominik Smith ◽  
Pavel Buividovich ◽  
Maksim Ulybyshev ◽  
Lorenz von Smekal
Keyword(s):  
Monte Carlo ◽  
Spin Density ◽  
Monte Carlo Study ◽  
Monolayer Graphene ◽  
Coulomb Interactions ◽  
Hybrid Monte Carlo

Thermodynamics of the fully frustrated quantum Josephson-junction array: A hybrid Monte Carlo study

1994 ◽  
Vol 50 (2) ◽  
pp. 1321-1324 ◽  
Author(s):  
J. Mikalopas ◽  
M. Jarrell ◽  
F. J. Pinski ◽  
Woonki Chung ◽  
M. A. Novotny
Keyword(s):  
Monte Carlo ◽  
Josephson Junction ◽  
Monte Carlo Study ◽  
Hybrid Monte Carlo ◽  
Josephson Junction Array ◽  
Junction Array

A HYBRID MONTE CARLO STUDY OF THE SU-SCHRIEFFER-HEEGER MODEL

1994 ◽  
Vol 05 (03) ◽  
pp. 459-481 ◽  
Author(s):  
MARCIA G. DO AMARAL ◽  
C. ARAGÃO DE CARVALHO
Keyword(s):  
Phase Diagram ◽  
Monte Carlo ◽  
Phase Space ◽  
Chemical Potential ◽  
Monte Carlo Study ◽  
Fermion Mass ◽  
Coupling Constant ◽  
Hybrid Monte Carlo ◽  
Expectation Value ◽  
Fermionic Fields

We study, using the Hybrid Monte Carlo Method, the behavior of the spinless SuSchrieffer-Heeger model that describes conducting polymers, as a function of the Yukawa coupling constant, the fermion mass and the chemical potential, which simulates doping. We measure the expectation value of the bosonic fields, φ, and of the fermionic fields, [Formula: see text], in the phase space of all parameters. We exhibit the phase diagram of the theory and look for the presence of solitons, polarons and bipolarons in the configurations generated.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

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