Abstract
Starting from the assumption that matter, for our purposes, consists of interacting particles obeying classical mechanics, and using the postulates of statistical mechanics, one can model any specific material as a system of particles provided one knows what the interactions between the particles are. However, whatever interactions are chosen the integrals that it is necessary to solve are formidable. For example, the average potential energy is
where the probability density for a configuration of N distinguishable particles, \( {{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{r}}^{N}}\equiv({{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{r}}_{1}},{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{r}}_{2}},....,{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{r}}_{N}}) \), r2,...., rN) is
where the configurational integral QN is
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. M. Hammersley and D. C. Handscomb, “Monte Carlo Methods”, Methuen, London (1964).
J. P. Valleau and G. M. Torrie, A Guide to Monte Carlo for Statistical Mechanics: 2. Byways, in: “Modern Theoretical Chemistry, Vol. 5A, Equilibrium Statistical Mechanics of Fluids”, B. J. Berne, ed., Plenum, New York (1977).
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, J. Chem. Phys. 21: 1087 (1953).
W. W. Wood, Monte Carlo Studies of Simple Liquid Models, in: “The Physics of Simple Liquids”, H. N. V. Temperley, J. S. Rowlinson, and G. S. Rushbrooke, eds., North-Holland, Amsterdam (1974).
J. P. Valleau and S. G. Whittington, A Guide to Monte Carlo for Statistical Mechanics: 1. Highways, in: “Modern Theoretical Chemistry, Vol. 5A, Equilibrium Statistical Mechanics of Fluids”, B. J. Berne, ed., Plenum, New York (1977).
C. Zannoni, Computer Simulations, in: “The Molecular Physics of Liquid Crystals”, G. R. Luckhurst and G. W. Gray, eds., Academic Press, London (1979).
D. M. Heyes, M. Barber and J. H. R. Clarke, J. C. S. Faraday II 73:1485 (1977); 75:1240, 1469 and 1484 (1979).
W. Schommers, Phys.Rev. A16: 327 (1977).
M. J. L. Sangster and M. Dixon, Adv.Phys. 25: 247 (1976).
G. N. Patey, G. M. Torrie, and J. P. Valleau, J.Chem.Phys. 71: 96 (1979).
D. J. Adams, Chem. Phys. Lett., 62:329 (1979); in: “The Problem of Long-Range Forces in the Computer Simulation of Condensed Media”, D. Ceperely, ed., NRCC, Lawrence Berkeley Laboratory (1980).
I. R. McDonald and K. Singer, Disc. Faraday Soc. 43: 40 (1967).
D. J. Adams and I. R. McDonald, Molec. Phys. 34: 287 (1977).
D. R. Squire and W. G. Hoover, J. Chem. Phys. 50: 701 (1969).
D. J. Adams and J. C. Rasaiah, Faraday Disc. 64: 22 (1978)
C. Pangali, M. Rao, and B. J. Berne, Chem. Phys. Lett. 55: 413 (1978).
P. J. Rossky, J. D. Doll, and H. L. Friedman, J. Chem. Phys. 69: 4628 (1978).
M. Rao, C. Pangali, and B. J. Berne, Molec. Phys. 37: 1773 (1979).
M. Rao and B. J. Berne, J. Chem. Phys. 71: 129 (1979).
I. R. McDonald, Molec. Phys. 23: 41 (1972).
D. J. Adams and I. R. McDonald, J. Phys. C 7:2761 (1974); 8: 2198 (1975).
D. J. Adams and I. R. McDonald, Physica 79 B: 159 (1975).
G. É. Norman and V. S. Filinov, High Temp. USSR 7: 216 (1969).
D. J. Adams, Molec. Phys. 28: 1241 (1974).
L. A. Rowley, D. Nicholson, and N. G. Parsonage, J. Comput. Phys. 17: 401 (1975).
D. J. Adams, Molec. Phys. 32, 647 (1976); 37, 211 (1979).
J. E. Lane and T. H. Spurling, Aust. J. Chem. 29: 2103 (1976);
and 933 (1978).
L. A. Rowley, D. Nicholson, and N. G. Parsonage, Mol. Phys.
and 389 (1976); J. Comput. Phys. 26:66 (1978).
J. E. Lane, T. H. Spurling, B. C. Freasier, J. W. Perram, and E. R. Smith, Phys. Rev. A20: 2147 (1979).
W. van Megen and I. K. Snook, Molec. Phys. 39: 1043 (1980).
G. M. Torrie and J. P. Valleau, Chem. Phys. Lett. 65: 343 (1979).
J. A. Barker and D. Henderson, Rev. Mod. Phys. 48: 587 (1976).
J. N. Cape and L. V. Woodcock, J. Chem. Phys. 72: 976 (1980).
F. F. Abraham, Phys. Rev. Lett. 44: 463 (1980).
Stochastic Molecular Dynamics“, D. Ceperley and J. Tully, eds., NRCC, Lawrence Berkeley Laboratory (1979).
A. J. Stace, Molec. Phys. 38: 155 (1979).
G. E. Murch and R. J. Thorn, Phil.Mag. 35:493; 36:517 and 529 (1977).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Plenum Press, New York
About this chapter
Cite this chapter
Adams, D. (1983). Introduction to Monte Carlo Simulation Techniques. In: Perram, J.W. (eds) The Physics of Superionic Conductors and Electrode Materials. NATO Advanced Science Institutes Series, vol 92. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-4490-2_10
Download citation
DOI: https://doi.org/10.1007/978-1-4684-4490-2_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-4492-6
Online ISBN: 978-1-4684-4490-2
eBook Packages: Springer Book Archive