Dynamic properties of the Monte Carlo method in statistical mechanics

Keywords

Statistical physics, Monte Carlo method, Ising model, Statistical mechanics, Monte Carlo method in statistical physics

References

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• Diffusion Constants near the Critical Point for Time-Dependent Ising Models. IKyozi Kawasaki — 1966
• Time‐Dependent Statistics of the Ising ModelRoy J. Glauber — 1963
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• Decay of correlations. III. Relaxation of spin correlations and distribution functions in the one-dimensional ising latticeDick Bedeaux, Kurt E. Shuler, Irwin Oppenheim — 1970
• Classical Heisenberg Magnet in Two DimensionsR. E. Watson, M. Blume, George H. Vineyard — 1970
• Dynamics of the Ising Model near the Critical Point. IMasuo Suzuki, Ryogo Kubo — 1968
• THEORY OF THE FIRST-ORDER MAGNETIC PHASE CHANGE IN UOsub 2M. Blume — 1966
• Monte Carlo study of the surface area of liquid dropletsKurt Binder, D. Stauffer — 1972
• Monte Carlo MethodsJ. M. Hammersley, D. C. Handscomb — 1964
• Computer-oriented approach to the ensemble theoryZ. Alexandrowicz — 1972
• Antiferromagnetic Ordering in an Ising Lattice by a Monte Carlo MethodE A Harris — 1964
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Cited by

• Efficiency and time-dependent cross correlations in multivariable Monte Carlo updating.Shyunsaku Nogusa — 2013
• Theoretical Study and Computer Simulation of Generalized Solid-on-solid ModelsQi Fu — 2013
• Phase Transitions in Long-range Spin Models: The Power of Generalized EnsemblesSylvain Reynal — 2005
• Monte Carlo simulation of model spin systemsS. Ramasesha — 1979
• Multiscale Modeling, Simulation and Control of Protein Crystallization ProcessesMichael Nayhouse — 2015
• Multiscale modeling and control of crystal shape and size distributions: accounting for crystal aggregation, evaluation of continuous crystallization systems and run-to-run controlJoseph Sang‐Il Kwon — 2015
• Microscopic computations in the fractional quantum Hall effectStephanie Jane Huntington — 2015
• Monte Carlo Simulation Studies of the Size and Shape of Regular Three Generation DendrimersEdyta Wawrzyńska, Stephan Eisenhaber, Paweł G. Parzuchowski — 2014
• Nonequilibrium dynamical transition in the asymmetric exclusion processArno Proeme — 2011
• The structural de-correlation time: A robust statistical measure of convergence of biomolecular simulationsEdward Lyman, Daniel M. Zuckerman — 2006
• A hierarchy of self-consistent stochastic boundary conditions for Ising lattice simulationsYidan Wang, You Quan Chong, Siew Ann Cheong — 2012
• Markov Chain Monte Carlo in Stastical MechanicsStefania Mignani, Rodolfo Rosa — 2001
• Computersimulationen zum Depinning-Übergang in ungeordneten magnetischen SystemenL. Roters — 2002
• Multipath Metropolis simulation: An application to the classical Heisenberg modelPredrag Rakić, Slobodan Radošević, Petar Mali — 2013
• Cluster statistics of the lattice gas model in three and two dimensionsH. Müller–Krumbhaar, E. Stoll — 1976
• 0.234: The Myth of a Universal Acceptance Ratio for Monte Carlo SimulationsChristopher C.J. Potter, Robert H. Swendsen — 2015
• Kernel selection for convergence and efficiency in Markov Chain Monte CarloChristopher C.J. Potter — 2013
• Monte Carlo Simulation Studies of Regular and Irregular Dendritic PolymersEdyta Wawrzyńska, Andrzej Sikorski, Gerhard Zifferer — 2015
• Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculationsMarc Souaille, Benoı̂t Roux — 2001
• Expanded ensemble and replica exchange methods for simulation of protein-like systemsMichael K. Fenwick, Fernando A. Escobedo — 2003

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