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J. Chem. Phys. 136, 014902 (2012); http://dx.doi.org/10.1063/1.3673444 (13 pages)

Multi-scale modeling of diffusion-controlled reactions in polymers: Renormalisation of reactivity parameters

Ralf Everaers1 and Angelo Rosa2

1Laboratoire de Physique and Centre “Blaise Pascal,” Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR 5672, Université de Lyon, 46 Allée d’Italie, 69634 Lyon Cedex 07, France
2Sissa (Scuola Internazionale Superiore di Studi Avanzati) and Italian Institute of Technology (Sissa unit), Via Bonomea 265, 34136 Trieste, Italy

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(Received 7 August 2011; accepted 6 December 2011; published online 4 January 2012)

The quantitative description of polymeric systems requires hierarchical modeling schemes, which bridge the gap between the atomic scale, relevant to chemical or biomolecular reactions, and the macromolecular scale, where the longest relaxation modes occur. Here, we use the formalism for diffusion-controlled reactions in polymers developed by Wilemski, Fixman, and Doi to discuss the renormalisation of the reactivity parameters in polymer models with varying spatial resolution. In particular, we show that the adjustments are independent of chain length. As a consequence, it is possible to match reactions times between descriptions with different resolution for relatively short reference chains and to use the coarse-grained model to make quantitative predictions for longer chains. We illustrate our results by a detailed discussion of the classical problem of chain cyclization in the Rouse model, which offers the simplest example of a multi-scale descriptions, if we consider differently discretized Rouse models for the same physical system. Moreover, we are able to explore different combinations of compact and non-compact diffusion in the local and large-scale dynamics by varying the embedding dimension.

© 2012 American Institute of Physics

Article Outline

  1. INTRODUCTION
  2. THEORY
    1. Mean first-contact times and contact correlation functions
    2. Rouse model
  3. RESULTS
    1. The origin of the different scaling regimes in the Rouse model
    2. Reaction times as a function of chain discretization and spatial dimension
  4. MULTI-SCALE MODELING OF DIFFUSION LIMITED REACTIONS IN POLYMERS
    1. Disregarding the model-dependent microscopic dynamics
    2. Universal and model-dependent contributions to τdc
    3. Coupling of contact radius and conversion rate
    4. Reactivity parameters for models with different resolution
  5. SUMMARY

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KEYWORDS and PACS

PACS

  • 82.20.Wt

    Computational modeling; simulation

  • 82.35.-x

    Polymers: properties; reactions; polymerization

  • 36.20.Fz

    Constitution (chains and sequences)

ARTICLE DATA

PUBLICATION DATA

ISSN

0021-9606 (print)  
1089-7690 (online)

For access to fully linked references, you need to log in.
    G. Wilemski and M. Fixman, J. Chem. Phys. 60, 866 (1974)JCPSA6000060000003000866000001.

    G. Wilemski and M. Fixman, J. Chem. Phys. 60, 878 (1974)JCPSA6000060000003000878000001.

    P.-G. de Gennes, J. Chem. Phys. 76, 3316 (1982)JCPSA6000076000006003316000001.

    P.-G. de Gennes, J. Chem. Phys. 76, 3322 (1982)JCPSA6000076000006003322000001.

    B. Friedman and B. O'Shaughnessy, Phys. Rev. Lett. 60, 64 (1988).

    B. Friedman and B. O'Shaughnessy, Phys. Rev. A 40, 5950 (1989).

    R. W. Pastor, R. Zwanzig, and A. Szabo, J. Chem. Phys. 105, 3878 (1996)JCPSA6000105000009003878000001.

    J. Z. Y. Chen, H.-K. Tsao, and Y.-J. Sheng, Phys. Rev. E 72, 031804 (2005).

    N. M. Toan, D. Marenduzzo, P. R. Cook, and C. Micheletti, Phys. Rev. Lett. 97, 178302 (2006).

    I. M. Sokolov, Phys. Rev. Lett. 90, 080601 (2003).

    M. Murat and K. Kremer, J. Chem. Phys. 108, 4340 (1998)JCPSA6000108000010004340000001.

    F. Eurich and P. Maass, J. Chem. Phys. 114, 7655 (2001)JCPSA6000114000017007655000001.

    C. Pierleoni, C. Addison, J.-P. Hansen, and V. Krakoviack, Phys. Rev. Lett. 96, 128302 (2006).

    C. Pierleoni, B. Capone, and J.-P. Hansen, J. Chem. Phys. 127, 171102 (2007)JCPSA6000127000017171102000001.

    Y. von Hansen, R. R. Netz, and M. Hinczewski, J. Chem. Phys. 132, 135103 (2010)JCPSA6000132000013135103000001.

    J. Ramirez, S. K. Sukumaran, B. Vorselaar, and A. E. Likhtman, J. Chem. Phys. 133, 154103 (2010)JCPSA6000133000015154103000001.

    B. H. Zimm, J. Chem. Phys. 24, 269 (1956)JCPSA6000024000002000269000001.

    R. Everaers, F. Julicher, A. Ajdari, and A. C. Maggs, Phys. Rev. Lett. 82, 3717 (1999).

    P. Ahlrichs and B. Dunweg, J. Chem. Phys. 111, 8225 (1999)JCPSA6000111000017008225000001.

    O. Hallatschek, E. Frey, and K. Kroy, Phys. Rev. Lett. 94, 077804 (2005).

    C. Yeung and B. Friedman, J. Chem. Phys. 122, 214909 (2005)JCPSA6000122000021214909000001.

    G. Wilemski and M. Fixman, J. Chem. Phys. 58, 4009 (1973)JCPSA6000058000009004009000001.


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