scholarly journals Monte Carlo simulation of coherent effects in multiple scattering

2005 ◽  
Vol 461 (2053) ◽  
pp. 43-53 ◽  
Author(s):  
Igor V. Meglinski ◽  
Vladimir L. Kuzmin ◽  
Dmitry Y. Churmakov ◽  
Douglas A. Greenhalgh
Keyword(s):  
Monte Carlo ◽  
Optical Radiation ◽  
Temporal Correlation ◽  
Wave Theory ◽  
Optical Path ◽  
Monte Carlo Technique ◽  
Coherent Effects ◽  
Back Scattering ◽  
Good Agreement ◽  
Temporal Correlation Function

Using a combination of the stochastic Monte Carlo technique and the iteration procedure of the solution to the Bethe–Salpeter equation, it has been shown that the simulation of the optical path of a photon packet undergoing an n th scattering event directly corresponds to the n th–order ladder diagram contribution. In this paper, the Monte Carlo technique is generalized for the simulation of the coherent back–scattering and temporal correlation function of optical radiation scattered within the randomly inhomogeneous turbid medium. The results of simulation demonstrate a good agreement with the diffusing wave theory and experimental results.

MONTE CARLO STUDY OF THE SPIN-1/2 HEISENBERG MODEL IN 1, 2, AND 3 DIMENSIONS

1991 ◽  
Vol 05 (13) ◽  
pp. 907-914 ◽  
Author(s):  
RICHARD J. CRESWICK ◽  
CYNTHIA J. SISSON
Keyword(s):  
Monte Carlo ◽  
High Temperature ◽  
Spin Wave ◽  
Heisenberg Model ◽  
Transition Probability ◽  
Lattice Models ◽  
Wave Theory ◽  
Temperature Expansion ◽  
High Temperature Expansion ◽  
Good Agreement

The properties of the spin-1/2 Heisenberg model on 1, 2, and 3-dimensional lattices are calculated using the Decoupled Cell Method of Homma et al., and these results are compared with high temperature and spin-wave expansions, and with other numerical approaches. The DCM has advantages over other Monte Carlo methods currently in wide use in that the transition probability is positive definite, there is no need to introduce an additional imaginary time, or Trotter, dimension, and the acceptance rate for transitions is comparable to that of classical lattice models. We find very good agreement between the DCM and the high temperature expansion in the temperature region where the high temperature expansion is valid, and reasonably good agreement at low temperatures with spin wave theory. The DCM fails for temperatures T < Tc which decreases with the size of the cell.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

scholarly journals Correction to: Assessing an efficient hybrid of Monte Carlo technique (GSA-GLUE) in Uncertainty and Sensitivity Analysis of vanGenuchten Soil Moisture Characteristics Curve

2021 ◽  
Author(s):  
Samaneh Etminan ◽  
Vahidreza Jalali ◽  
Majid Mahmoodabadi ◽  
Abbas Khashei siuki ◽  
Mohsen Pourreza Bilondi
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Soil Moisture ◽  
Monte Carlo Technique ◽  
Uncertainty And Sensitivity Analysis

A novel approach to model the land mobile satellite channel through reversible jump markov chain monte carlo technique

2008 ◽  
Vol 7 (2) ◽  
pp. 532-542 ◽  
Author(s):  
Clemence Alasseur ◽  
Sandro Scalise ◽  
Lionel Husson ◽  
Harald Ernst
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Monte Carlo Technique ◽  
Reversible Jump ◽  
Novel Approach ◽  
Mobile Satellite

scholarly journals Ground States of Helium Atom and Hydrogen Negative Ion in the Presence of Magnetic Field Using Variational Monte Carlo Technique

2014 ◽  
Vol 126 (3) ◽  
pp. 700-705 ◽  
Author(s):  
S.B. Doma ◽  
M. O. Shaker ◽  
A. M. Farag ◽  
F.N. El-Gammal
Keyword(s):  
Magnetic Field ◽  
Monte Carlo ◽  
Helium Atom ◽  
Ground States ◽  
Monte Carlo Technique ◽  
Negative Ion ◽  
Variational Monte Carlo

Computer‐aided study of hot wall epitaxy system using a Monte‐Carlo technique

1983 ◽  
Vol 54 (9) ◽  
pp. 5385-5393 ◽  
Author(s):  
V. Ramachandran ◽  
P. R. Vaya
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Technique ◽  
Computer Aided ◽  
Hot Wall Epitaxy
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