Journal of Chemical Physics
The Journal of Chemical Physics
   
 
 
 
Previous Article
Interaction potentials and rovibrational spectroscopy of HeN-OCS complexes
We present a new vibrationally averaged He-OCS potential energy surface that is obtained from a combination of Møller-Plesset perturbation theory for the helium-molecule interaction and coupled...
Next Article
The behavior of fluids near solutes: A density functional theory and computer simulation study
The density distribution of solvent near a solute particle is studied using density functional theory and Monte Carlo simulation. The fluid atoms interact with each other via a hard sphere plus Yukawa...

Low-temperature nucleation in a kinetic Ising model under different stochastic dynamics with local energy barriers

J. Chem. Phys. 121, 4193 (2004); doi:10.1063/1.1772358

Issue Date: 1 September 2004

You are not logged in to this journal. Log in

Gloria M. Buendía
Department of Physics, Universidad Simón Bolívar, Caracas 1080, Venezuela;
School of Computational Science and Information Technology, Center for Materials Research and Technology, and Department of Physics, Florida State University, Tallahassee, Florida 32306-4120; and
Department of Physics and Astronomy and ERC Center for Computational Sciences, Mississippi State University, Mississippi State, Mississippi 39762-5167


Per Arne Rikvold
School of Computational Science and Information Technology, Center for Materials Research and Technology, and Department of Physics, Florida State University, Tallahassee, Florida 32306-4120

Kyungwha Park
Department of Physics, Georgetown University, Washington, DC 20057

M. A. Novotny
Department of Physics and Astronomy and ERC Center for Computational Sciences, Mississippi State University, Mississippi State, Mississippi 39762-5167
Using both analytical and simulational methods, we study low-temperature nucleation rates in kinetic Ising lattice-gas models that evolve under two different Arrhenius dynamics that interpose between the Ising states a transition state representing a local energy barrier. The two dynamics are the transition-state approximation [T. Ala-Nissila, J. Kjoll, and S. C. Ying, Phys. Rev. B 46, 846 (1992)] and the one-step dynamic [H. C. Kang and W. H. Weinberg, J. Chem. Phys. 90, 2824 (1989)]. Even though they both obey detailed balance and are here applied to a situation that does not conserve the order parameter, we find significant differences between the nucleation rates observed with the two dynamics, and between them and the standard Glauber dynamic [R. J. Glauber, J. Math. Phys. 4, 294 (1963)], which does not contain transition states. Our results show that great care must be exercised when devising kinetic Monte Carlo transition rates for specific physical or chemical systems. ©2004 American Institute of Physics.
History: Received 23 February 2004; accepted 19 May 2004
Permalink: http://link.aip.org/link/?JCPSA6/121/4193/1
BUY THIS ARTICLE   (US$28)
Download HTML Download Sectioned HTML Download PDF (124 kB) View Cart

KEYWORDS and PACS

Keywords
PACS
  • 64.60.Qb
    Nucleation in phase transitions
  • 05.50.+q
    Lattice theory and statistics including Ising, Potts models, etc
  • 05.40.-a
    Fluctuation phenomena, random processes, noise, and Brownian motion
  • YEAR: 2004

RELATED DATABASES


To view database links for this article,
you need to log in.
To view database links for this article,
you need to log in.

PUBLICATION DATA

ISSN:
0021-9606 (print)   1089-7690 (online)
Publisher:
AIP is a member of CrossRef AIP

REFERENCES (83)

For access to fully linked references, you need to log in. For access to fully linked references, you need to Log in.
  1. J. Onuchic, Z. Luthey-Schulten, and P. G. Wolynes, Annu. Rev. Phys. Chem. 48, 545 (1997).
  2. A. C. Lasaga, Kinetic Theory in the Earth Sciences (Princeton University Press, Princeton, NJ, 1998).
  3. A. B. C. Patzer, A. Gauger, and E. Sedlmayr, Astron. Astrophys. 337, 847 (1998).
  4. H. A. Kastrup, Phys. Lett. B 419, 40 (1998).
  5. H. A. Kastrup, Ann. Phys. (Berlin) 9, 503 (2000).
  6. G. Brown, P. A. Rikvold, S. J. Mitchell, and M. A. Novotny, in Interfacial Electrochemistry: Theory, Experiment, and Application, edited by A. Wieckowski (Marcel Dekker, New York, 1999), p. 47.
  7. S. J. Mitchell, S. Wang, and P. A. Rikvold, Faraday Discuss. 121, 53 (2002).
  8. F. Berthier, B. Legrand, J. Creuze, and R. Tétot, J. Electroanal. Chem. 561, 37 (2004).
  9. F. Berthier, B. Legrand, J. Creuze, and R. Tétot, J. Electroanal. Chem. 562, 127 (2004).
  10. N. Combe, P. Jensen, and A. Pimpinelli, Phys. Rev. Lett. 85, 110 (2000).
  11. S. Auer and D. Frenkel, Nature (London) 409, 1020 (2001).
  12. K. A. Fichthorn, M. L. Merrick, and M. Scheffler, Appl. Phys. A: Solids Surf. 75, 17 (2002).
  13. M. A. Novotny, G. Brown, and P. A. Rikvold, J. Appl. Phys. 91, 6908 (2002).
  14. H. L. Richards, S. W. Sides, M. A. Novotny, and P. A. Rikvold, J. Magn. Magn. Mater. 150, 37 (1995).
  15. R. Mahnke, R. Kaupu[z-hacek]s, and V. Frishfelds, Atmos. Res. 65, 261 (2003).
  16. M. A. Novotny, in Computer Simulation Studies in Condensed Matter Physics IX, edited by D. P. Landau, K. K. Mon, and H.-B. Schüttler (Springer-Verlag, Berlin, 1997), p. 182.
  17. M. A. Novotny, Comput. Phys. Commun. 147, 132 (2002).
  18. M. A. Novotny, in Computer Simulation Studies in Condensed Matter Physics XV, edited by D. P. Landau, S. P. Lewis, and H.-B. Schüttler (Springer-Verlag, Berlin, 2003), p. 7.
  19. K. Park, M. A. Novotny, and P. A. Rikvold, Phys. Rev. E 66, 056101 (2002).
  20. V. A. Shneidman, J. Stat. Phys. 112, 293 (2003).
  21. V. A. Shneidman and G. M. Nita, Phys. Rev. Lett. 89, 025701 (2002).
  22. V. A. Shneidman and G. M. Nita, Phys. Rev. E 68, 021605 (2003).
  23. K. Park and M. A. Novotny, Comput. Phys. Commun. 147, 737 (2002).
  24. K. Park and M. A. Novotny, in Computer Simulation Studies in Condensed Matter Physics XIV, edited by D. P. Landau, S. P. Lewis, and H.-B. Schüttler (Springer-Verlag, Berlin, 2002), p. 134.
  25. A. Bovier and F. Manzo, J. Stat. Phys. 107, 757 (2002).
  26. P. Dehghanpour and R. H. Schonmann, Commun. Math. Phys. 188, 89 (1997).
  27. P. Dehghanpour and R. H. Schonmann, Probab. Theory Relat. Fields 107, 123 (1997).
  28. E. Jordão Neves and R. H. Schonmann, Commun. Math. Phys. 137, 209 (1991).
  29. R. Kotecký and E. Olivieri, J. Stat. Phys. 75, 409 (1994).
  30. E. Olivieri and E. Scoppola, J. Stat. Phys. 79, 613 (1995).
  31. R. H. Schonmann, Commun. Math. Phys. 147, 231 (1992).
  32. R. H. Schonmann, Commun. Math. Phys. 161, 1 (1994).
  33. E. Scoppola, J. Stat. Phys. 73, 83 (1993).
  34. E. Scoppola, Physica A 194, 271 (1993), and references cited therein.
  35. Starting from the Ising Hamiltonian of Eq. (3), the standard, explicit mapping between the Ising and lattice-gas formulations is as follows. We identify the Ising variable sigmaalpha = +1 ("spin up") at site alpha with the lattice-gas variable calpha = 1 (occupied or "solid") and sigmaalpha = –1 with calpha = 0 (empty or "fluid"), so that sigmaalpha = 2calpha–1. The Ising and lattice-gas interaction constants [J and phi, respectively; J is set equal to unity in Eq. (3)] are related as phi= 4J, and the applied Ising field H is related to the lattice-gas chemical potential µ as H = (µµ0)/2, where µ0 = –8J = –2phi is the coexistence value of µ.
  36. R. A. Ramos, P. A. Rikvold, and M. A. Novotny, Phys. Rev. B 59, 9053 (1999).
  37. M. A. Novotny, P. A. Rikvold, M. Kolesik, D. M. Townsley, and R. A. Ramos, J. Non-Cryst. Solids 274, 356 (2000).
  38. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, J. Chem. Phys. 21, 1087 (1953).
  39. D. P. Landau and K. Binder, A Guide to Monte Carlo Simulations in Statistical Physics (Cambridge University Press, Cambridge, England, 2000).
  40. P. A. Rikvold and B. M. Gorman, in Annual Reviews of Computational Physics I, edited by D. Stauffer (World Scientific, Singapore, 1994), p. 149.
  41. P. A. Rikvold, H. Tomita, S. Miyashita, and S. W. Sides, Phys. Rev. E 49, 5080 (1994).
  42. K. Park, P. A. Rikvold, G. M. Buendía, and M. A. Novotny, Phys. Rev. Lett. 92, 015701 (2004).
  43. R. J. Glauber, J. Math. Phys. 4, 294 (1963).
  44. T. Ala-Nissila, J. Kjoll, and S. C. Ying, Phys. Rev. B 46, 846 (1992).
  45. T. Ala-Nissila and S. C. Ying, Prog. Surf. Sci. 39, 227 (1992).
  46. T. Ala-Nissila, R. Ferrando, and S. C. Ying, Adv. Phys. 51, 949 (2002).
  47. H. C. Kang and W. H. Weinberg, J. Chem. Phys. 90, 2824 (1989).
  48. K. A. Fichthorn and W. H. Weinberg, J. Chem. Phys. 95, 1090 (1991).
  49. G. M. Buendía, P. A. Rikvold, K. Park, and M. A. Novotny, Rev. Mex. Fis. (in press).
  50. P. A. Rikvold and M. Kolesik, J. Phys. A 35, L117 (2002).
  51. P. A. Rikvold and M. Kolesik, J. Stat. Phys. 100, 377 (2000).
  52. J. Marro and R. Dickman, Nonequilibrium Phase Transitions in Lattice Models (Cambridge University Press, Cambridge, England, 1999).
  53. H. Guo, B. Grossmann, and M. Grant, Phys. Rev. Lett. 64, 1262 (1990).
  54. M. Kotrla and A. C. Levi, J. Stat. Phys. 64, 579 (1991).
  55. F. Hontinfinde, J. Krug, and M. Touzani, Physica A 237, 363 (1997).
  56. W. Schmickler, Interfacial Electrochemistry (Oxford University Press, New York, 1996).
  57. J. O. Bockris and A. K. N. Reddy, Modern Electrochemistry, Vol. 2 (Plenum, New York, 1970).
  58. N. G. Van Kampen, Stochastic Processes in Physics and Chemistry, 2nd ed. (North-Holland, Amsterdam, 1992), Chap. VI.
  59. M. Iosifescu, Finite Markov Processes and their Application (Wiley, New York, 1980), p. 99.
  60. M. A. Novotny, in Annual Reviews of Computational Physics IX, edited by D. Stauffer (World Scientific, Singapore, 2001), p. 153.
  61. M. A. Novotny, Phys. Rev. Lett. 74, 1 (1995);
  62. 75, 1424(E) (1995).
  63. M. A. Novotny and S. M. Wheeler, in Computer Simulations of Surfaces and Interfaces, edited by B. Dünweg, et al. (Kluwer Academic, Amsterdam, 2003), p. 225.
  64. M. Kolesik, M. A. Novotny, P. A. Rikvold, and D. M. Townsley, in Computer Simulation Studies in Condensed Matter Physics X, edited by D. P. Landau, K. K. Mon, and H.-B. Schüttler (Springer-Verlag, Berlin, 1998), p. 246.
  65. M. Kolesik, M. A. Novotny, and P. A. Rikvold, Phys. Rev. Lett. 80, 3384 (1998).
  66. M. A. Novotny, M. Kolesik, and P. A. Rikvold, Comput. Phys. Commun. 121-122, 330 (1999).
  67. A. B. Bortz, M. H. Kalos, and J. L. Lebowitz, J. Comput. Phys. 17, 10 (1975).
  68. S. Wolfram, The Mathematica Book, 3rd ed. (Cambridge University Press, Cambridge, England, 1996).
  69. D. H. Bailey, NASA Technical Report RNR-90-022.
  70. D. H. Bailey, ACM Trans. Math. Softw. 21, 379 (1995).
  71. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in Fortran, 2nd ed. (Cambridge University Press, Cambridge, England, 1992).
  72. P. A. Rikvold and M. Kolesik, Phys. Rev. E 66, 066116 (2002).
  73. P. A. Rikvold and M. Kolesik, Phys. Rev. E 67, 066113 (2003).
  74. J. D. Muños, M. A. Novotny, and S. J. Mitchell, Phys. Rev. E 67, 026101 (2003).
  75. I. Vattulainen, J. Merikoski, T. Ala-Nissila, and S. C. Ying, Phys. Rev. Lett. 79, 257 (1997).
  76. C. Uebing and V. P. Zhdanov, Phys. Rev. Lett. 80, 5455 (1998).
  77. I. Vattulainen, J. Merikoski, T. Ala-Nissila, and S. C. Ying, Phys. Rev. Lett. 80, 5456 (1998).
  78. C. Uebing and V. P. Zhdanov, J. Chem. Phys. 109, 3197 (1998).
  79. I. Vattulainen, S. C. Ying, T. Ala-Nissila, and J. Merikoski, J. Chem. Phys. 111, 11232 (1999).
  80. C. Uebing and V. P. Zhdanov, J. Chem. Phys. 111, 11234 (1999).
  81. P. A. Martin, J. Stat. Phys. 16, 149 (1977).
  82. G. Ben Arous and R. Cerf, Electronic J. Prob. 1, paper No. 10 (1996).
  83. D. Chen, J. Feng, and M. Qizn, Sci. China, Ser. A: Math., Phys., Astron. 40, 832 (1997).
  84. D. Chen, J. Feng, and M. Qizn, Sci. China, Ser. A: Math., Phys., Astron. 40, 1129 (1997).

CITING ARTICLES

For access to citing articles, you need to log in.
For access to citing articles, you need to Log in.