Literature DB >> 16895355

Influence of polymer-blend morphology on charge transport and photocurrent generation in donor-acceptor polymer blends.

Jarvist M Frost1, Fabien Cheynis, Sachetan M Tuladhar, Jenny Nelson.   

Abstract

Monte Carlo algorithms are used to simulate the morphologies adopted by polymer chains in a polymer-blend film in the limits where the chains are mutually attractive (homophilic regime) and mutually repulsive (heterophilic regime) and then to simulate the drift transport of charges through the polymer chains. In the homophilic regime, chains aggregate into tangled domains resulting in a relatively high percolation threshold, a high density of configurational trap states, and slow, dispersive charge transport. In the heterophilic regime at the same polymer volume fraction, chains self-organize into a lacework pattern resulting in a low percolation threshold and efficient, trap-free charge transport. For homophilic morphologies interchain hopping is rate-limiting and mobility is insensitive to chain length, whereas for heterophilic morphologies intrachain transport is important and mobility increases with increasing chain length. The morphologies are used in simulations of photocurrent quantum efficiency for donor-acceptor blend photodiodes, which show that the effects of morphology on charge pair generation and recombination compete with the effect on transport, such that the optimum blend composition is sensitive to both morphology and recombination rate. We conclude that it is essential to consider the connectivity of and morphology adopted by polymer chains in the optimization of materials for organic solar cells.

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Year:  2006        PMID: 16895355     DOI: 10.1021/nl0608386

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  1 in total

1.  A Comprehensive study of the Effects of Chain Morphology on the Transport Properties of Amorphous Polymer Films.

Authors:  Dan Mendels; Nir Tessler
Journal:  Sci Rep       Date:  2016-07-11       Impact factor: 4.379

  1 in total

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