Static Properties of Noninteracting Comb Polymers in Dense and Dilute Media. A Monte Carlo Study

1995 ◽  
Vol 28 (1) ◽  
pp. 190-196 ◽  
Author(s):  
Andreas Gauger ◽  
Tadeusz Pakula
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Static Properties ◽  
Comb Polymers

scholarly journals Dynamical Monte Carlo study of equilibrium polymers: Static properties

1998 ◽  
Vol 109 (2) ◽  
pp. 834-845 ◽  
Author(s):  
J. P. Wittmer ◽  
A. Milchev ◽  
M. E. Cates
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Static Properties ◽  
Equilibrium Polymers

Monte Carlo Analysis of the Evolution from Point to Extended Interstitial Type Defects in Crystalline Silicon

2000 ◽  
Vol 610 ◽  
Author(s):  
Antonino La Magna ◽  
Salvatore Coffa ◽  
Sebania Libertino
Keyword(s):  
Monte Carlo ◽  
Crystalline Silicon ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Study ◽  
Monte Carlo Analysis ◽  
Energetic Cost ◽  
Original Structure ◽  
Static Properties ◽  
Molecular Dynamics Calculations ◽  
Large Clusters

AbstractWe present a Lattice Kinetic Monte Carlo study of the atomic evolution leading to {311} defects formation upon annealing of a damaged Si-crystal. Self-interstitial (I) agglomeration is modeled by using local interaction and considering the energetic cost to under/over coordinate the Si atoms belonging to an I-complex. The static properties of the I aggregates as derived by molecular dynamics calculations, in the two extreme regimes of very small and very large clusters, have been mapped in the model. The typical evolution of an excess of Si ions is characterized by three distinct stages: (1) the formation of clusters consisting of few interstitials in a over-coordination state, (2) their redistribution in larger agglomerates containing a few of these small I clusters all preserving their original structure, (3) a transition leading to Is rearrangement along the ≪110> chains, which are the structural units of {311} defects. The duration of the preliminary stages critically depends on temperature and density of the added atoms.

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.

Detecting Between-Groups Heteroscedasticity in MMR: A Monte Carlo Study

2011 ◽  
Author(s):  
Patrick J. Rosopa ◽  
Amber N. Schroeder ◽  
Jessica Doll
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study

Monte Carlo study of 50 nm-long single and dual-gate MODFETs: suppression of short-channel effects

1993 ◽  
Vol 3 (9) ◽  
pp. 1719-1728
Author(s):  
P. Dollfus ◽  
P. Hesto ◽  
S. Galdin ◽  
C. Brisset
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Short Channel Effects ◽  
Short Channel ◽  
Channel Effects ◽  
Dual Gate
Sign in / Sign up

Export Citation Format

Share Document