Kinetics of phase transitions in two dimensional Ising models studied with the string method
- 129 Downloads
The kinetics of phase transitions in the two dimensional Ising model under different conditions is studied using the string method. The key idea is to work in collective variables, consisting of block of spins, which allow for a continuous approximation of the collective variable state-space. The string method computes the minimum free energy path (MFEP) in this collective variable space, which is shown to explain the mechanism of the phase transformation (in particular, an approximation of its committor function, its free energy and its transition state). In this paper the theoretical background of the technique as well as its computational aspects are discussed in details. The string method is then used to analyze phase transition in the Ising model with imposed boundary conditions and in a periodic system under an external field of increasing magnitude. In each case, the mechanism of the phase transformation is elucidated.
KeywordsMinimum free energy path String method Sampling Phase transition Ising model
Unable to display preview. Download preview PDF.
- 3.Sanz E., Frenkel D. and ValerianiC. (2005). J. Chem. Phys. 122: 194501 Google Scholar
- 7.E. Vanden-Eijnden, in Transition path theory. ed. by M. Ferrario, G. Ciccotti, K. Binder. Computer Simulations in Condensed Matter: From Materials to Chemical Biology, vol 1 (Springer, Berlin, 2006), pp. 439–478Google Scholar
- 9.P.A. Rikvold, B.M. Gorman, in Recent results on the decay of metastable phases. ed. by D. Stauffer. Annual Reviews of Computational Physics I (World Scientific, Singapore, 1994), pp. 149–192Google Scholar
- 13.P. Metzner, C. Schütte, E. Vanden-Eijnden, Mult. Model. Simul, SIAM (2007)Google Scholar
- 14.G. Giacomin, J. L. Lebowitz, E. Presutti, in Deterministic and stochastic hydrodynamic equations arising from simple microscopic model systems. ed. by R.A. Carmona, B. Rozovskii. Stochastic Partial Differential Equations: Six Perspectives, volume Math. Surveys Monogr, vol 64 (AMS, Providence, RI, 1999), pp. 107–152Google Scholar
- 15.Freidlin M.I. and Wentzell A.D. (1984). Random Perturbations of Dynamical Systems. Springer, Berlin-Heidelberg-New York Google Scholar
- 20.Efros A.L. (1986). Physics and Geometry of Disorder. MIR, Moscow Google Scholar