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Relaxation of Voronoi shells in hydrated molecular ionic liquids

J. Chem. Phys. 131, 174509 (2009); doi:10.1063/1.3256003

Published 6 November 2009

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G. Neumayr, C. Schröder, and O. Steinhauser
Department of Computational Biological Chemistry, University of Vienna, Wien A-1090, Austria
The relaxation of solvation shells is studied following a twofold strategy based on a direct analysis of simulated data as well as on a solution of a Markovian master equation. In both cases solvation shells are constructed by Voronoi decomposition or equivalent Delaunay tessellation. The theoretical framework is applied to two types of hydrated molecular ionic liquids, 1-butyl-3-methyl-imidazolium tetrafluoroborate and 1-ethyl-3-methyl-imidazolium trifluoromethylsulfonate, both mixed with water. Molecular dynamics simulations of both systems were performed at various mole fractions of water. A linear relationship between the mean residence time and the system's viscosity is found from the direct analysis independent of the system's type. The complex time behavior of shell relaxation can be modeled by a Kohlrausch–Williams–Watts function with an almost universal stretching parameter of 1/2 indicative of a square root time law. The probabilistic model enables an intuitive interpretation of essential motional parameters otherwise not accessible by direct analysis. Even more, incorporating the square root time law into the probabilistic model enables a quantitative prediction of shell relaxation from very short simulation studies. In particular, the viscosity of the respective systems can be predicted. ©2009 American Institute of Physics
History: Received 19 August 2009; accepted 6 October 2009; published 6 November 2009
Permalink: http://link.aip.org/link/?JCPSA6/131/174509/1
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KEYWORDS and PACS

Keywords
PACS
  • 61.20.Ja
    Computer simulation of liquid structure
  • 64.75.Cd
    Phase equilibria of fluid mixtures
  • 61.25.Em
    Structure of molecular liquids
  • 66.20.Ej
    Studies of viscosity and rheological properties of specific liquids
  • 66.20.Cy
    Theory and modeling of viscosity and rheological properties of liquids
  • YEAR: 2009

PUBLICATION DATA

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

REFERENCES (45)

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  1. G. F. Voronoi, J. Reine Angew. Math. 134, 198 (1908).
  2. B. N. Delaunay, Bull. Acad. Sci. USSR (VII) Classe. Sci. Mat. Nat. 7, 793 (1934).
  3. B. Bouvier, R. Grunberg, M. Nilges, and F. Cazals, Proteins 76, 677 (2009).
  4. B. Kirchner, J. Hutter, I. -F. W. Kuo, and C. J. Mundy, Int. J. Mod. Phys. B 18, 1951 (2004).
  5. P. F. Goncalves and H. Stassen, J. Chem. Phys. 123, 214109 (2005).
  6. B. Chaudhuri, F. Pederiva, and G. V. Chester, Phys. Rev. B 60, 3271 (1999).
  7. M. Schaefer, C. Bartels, F. Leclerc, and M. Karplus, J. Comput. Chem. 22, 1857 (2001).
  8. M. Neumann, F. J. Vesely, O. Steinhauser, and P. Schuster, Mol. Phys. 35, 841 (1978).
  9. M. Neumann, F. J. Vesely, O. Steinhauser, and P. Schuster, Mol. Phys. 37, 1725 (1979).
  10. R. Abseher, H. Schreiber, and O. Steinhauser, Proteins 25, 366 (1996).
  11. G. Löffler, T. Mager, C. Gerner, H. Schreiber, H. Bertagnolli, and O. Steinhauser, J. Chem. Phys. 104, 7239 (1996).
  12. S. Boresch, S. Ringhofer, P. Höchtl, and O. Steinhauser, Biophys. Chem. 78, 43 (1999).
  13. S. Boresch, P. Höchtl, and O. Steinhauser, J. Phys. Chem. B 104, 8743 (2000).
  14. P. Höchtl, S. Boresch, and O. Steinhauser, J. Chem. Phys. 112, 9810 (2000).
  15. B. Halle, Philos. Trans. R. Soc. London, Ser. B 359, 1207 (2004).
  16. N. -V. Buchete and G. Hummer, J. Phys. Chem. B 112, 6057 (2008).
  17. E. Vanden-Eijnden and M. Venturoli, J. Chem. Phys. 130, 194101 (2009).
  18. A. Okabe, Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Wiley, New York, 2000).
  19. K. E. Thompson, Int. J. Numer. Methods Eng. 55, 1345 (2002).
  20. D. F. Watson, Comput. J. 24, 167 (1981).
  21. M. Gerstein, J. Tsai, and M. Levitt, J. Mol. Biol. 249, 955 (1995).
  22. G. De Fabritiis and P. V. Coveney, Comput. Phys. Commun. 153, 209 (2003).
  23. H. Borouchaki, P. L. George, F. Hecht, P. Laug, and E. Saltel, Finite Elem. Anal. Design 25, 61 (1997).
  24. H. Borouchaki and S. H. Lo, Comput. Methods Appl. Mech. Eng. 128, 153 (1995).
  25. B. J. Berne, J. P. Boon, and S. A. Rice, J. Chem. Phys. 45, 1086 (1966).
  26. S. W. Provencher, Comput. Phys. Commun. 27, 213 (1982).
  27. S. W. Provencher, Comput. Phys. Commun. 27, 229 (1982).
  28. R. S. Anderssen, S. A. Husain, and R. J. Loy, ANZIAM J. 45, C800 (2004).
  29. E. W. Montroll and J. T. Bendler, J. Stat. Phys. 34, 129 (1984).
  30. C. Schröder, T. Rudas, S. Boresch, and O. Steinhauser, J. Chem. Phys. 124, 234907 (2006).
  31. C. Schröder, G. Neumayr, and O. Steinhauser, J. Chem. Phys. 130, 194503 (2009).
  32. J. N. Canongia Lopes, J. Deschamps, and A. A. H. Padua, J. Phys. Chem. B 108, 2038 (2004).
  33. J. N. Canongia Lopes, J. Deschamps, and A. A. H. Padua, J. Phys. Chem. B 108, 11250 (2004).
  34. J. de Andrade, E. S. Böes, and H. Stassen, J. Phys. Chem. B 106, 13344 (2002).
  35. C. Schröder, M. Haberler, and O. Steinhauser, J. Chem. Phys. 128, 134501 (2008).
  36. C. G. Hanke, S. L. Price, and R. M. Lynden-Bell, Mol. Phys. 99, 801 (2001).
  37. A. J. Stone and M. Alderton, Mol. Phys. 56, 1047 (1985).
  38. C. Schröder and O. Steinhauser, J. Chem. Phys. 128, 224503 (2008).
  39. J. N. Canongia Lopes and A. A. H. Padua, J. Phys. Chem. B 108, 16893 (2004).
  40. W. L. Jorgensen, J. Am. Chem. Soc. 103, 335 (1981).
  41. T. Darden, D. York, and L. Pedersen, J. Chem. Phys. 98, 10089 (1993).
  42. U. Essmann, L. Perera, M. L. Berkowitz, T. Darden, H. Lee, and L. G. Pedersen, J. Chem. Phys. 103, 8577 (1995).
  43. J. -P. Ryckaert, G. Ciccotti, and H. J. C. Berendsen, J. Comput. Phys. 23, 327 (1977).
  44. B. R. Brooks, R. E. Bruccoleri, B. D. Olafson, D. J. States, and S. Swaminathan, J. Comput. Chem. 4, 187 (1983).
  45. C. Schröder, C. Wakai, H. Weingärtner, and O. Steinhauser, J. Chem. Phys. 126, 084511 (2007).

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