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Subdiffusive exciton motion in systems with heavy-tailed disorder.

S M Vlaming1, V A Malyshev, A Eisfeld

  • 1Centre for Theoretical Physics and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. vlaming@pks.mpg.de

The Journal of Chemical Physics
|June 14, 2013
PubMed
Summary

Collective excitations, or Frenkel excitons, exhibit subdiffusive transport in disordered systems with heavy-tailed energy distributions. This deviation from diffusive behavior is linked to energy landscape fluctuations and scattering rates.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Physical Chemistry

Background:

  • Understanding exciton transport is crucial for optoelectronic devices.
  • Disorder in transition energies significantly impacts exciton dynamics.
  • Previous models often assumed Gaussian disorder, limiting applicability.

Purpose of the Study:

  • To investigate exciton transport in systems with non-Gaussian, heavy-tailed disorder distributions.
  • To analyze the impact of Lévy stable distributions on exciton dynamics.
  • To elucidate the relationship between disorder characteristics and transport regimes.

Main Methods:

  • Modeling Frenkel exciton transport with static disorder in transition energies.
  • Generalizing disorder models to Lévy stable distributions.
  • Analyzing the time evolution of the exciton distribution's second moment.
  • Investigating phonon-assisted scattering mechanisms.

Main Results:

  • Exciton dynamics exhibit subdiffusive behavior, deviating from standard diffusion.
  • Heavier tails in transition energy distributions lead to greater deviations from diffusion.
  • Subdiffusion is linked to large fluctuations in site energies (outliers).
  • Scattering rate distributions show a peak at zero, explaining subdiffusive transport.

Conclusions:

  • Lévy stable disorder distributions provide a more comprehensive model for exciton transport.
  • Subdiffusive transport is a key characteristic of systems with heavy-tailed disorder.
  • Understanding these dynamics is vital for designing efficient energy transfer systems.