By D. P. Landau, S. P. Lewis, H.-B. Schüttler (auth.), Professor David P. Landau Ph.D., Professor Steven P. Lewis Ph.D., Professor Heinz-Bernd Schüttler Ph.D. (eds.)
This is a "status document" in line with the shows and discussions which came about throughout the 14th Annual Workshop on machine Simulation reviews in Condensed topic Physics on the middle for Simulational Physics on the college of Georgia in February 2001. It presents a wide review of the newest advances within the box, spanning a variety of topical parts in simulational condensed subject physics. those contain contemporary advancements in simulations of classical statistical mechanics types, digital constitution calculations, quantum Monte Carlo simulations, and simulations of polymers. New actual effects and novel simulational and information research tools are presented.
Read or Download Computer Simulation Studies in Condensed-Matter Physics XIV: Proceedings of the Fourteenth Workshop, Athens, GA, USA, February 19–24, 2001 PDF
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Extra info for Computer Simulation Studies in Condensed-Matter Physics XIV: Proceedings of the Fourteenth Workshop, Athens, GA, USA, February 19–24, 2001
1 Introduction Hysteresis occurs in bistable systems coupled to a periodically changing external field. The intrinsic time scale of these systems is given by the metastable lifetime (7), the mean time spent in the metastable well. In this paper we use magnetic language, in which the order parameter is the magnetization m, and its conjugate field is the external magnetic field H. The metastable lifetime is defined as the average first-passage time to zero magnetization after a sudden field reversal.
This approximation has the implicit assumption that the lateral energy barriers at the surface are large compared to the temperature and lateral interaction energies, thus localizing the particles at the lattice-gas sites. This simplification has yielded remarkably accurate equilibrium results for real experimental systems [1,2]. However, the stochastic transition rates needed for dynamic Monte Carlo (DMC) simulations are not known, and although many transition rates satisfy detailed balance (and thus lead to the correct equilibrium distribution), most of these rates do not represent a physically realistic dynamic.
Ozeki and N. Ito: J. Phys. Soc. Jpn. Supp!. A 69, 193 (2000) 6. Y. Ozeki, N. Ito, and K Ogawa: Activity Report 1999 of the Supercomputer Center of ISSP (The University of Tokyo, 2000) p. 37 7. M. Suzuki: Phys. Lett. A58, 435 (1976) and Prog. Theor. Phys. 58, 1142 (1977) 8. T. Nakamura, private communication 9. S. Fukushima, Master Thesis (The Univ. of Tokyo, 2001) 10. K Ogawa, Master Thesis (Tokyo Inst. , 2000) 11. H. Watanabe, Master Thesis (The Univ. of Tokyo, 2001) 12. KJ. Strandburg: Rev. Mod.