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Polyaniline is a random-dimer model: A new transport mechanism for conducting polymers
Abstract
We consider here a single randomly protonated strand of the conducting polymer polyaniline and show explicitly that the disorder inherent in this system is described by the random-dimer model of Dunlap, Wu, and Phillips [Phys. Rev. Lett. 65, 88 (1990)] with off-diagonal disorder. We demonstrate exactly that the location in the energy band of the unscattered or conducting states of this model coincides with recent calculations of the location of the Fermi level in the protonated form of the polymer. We argue then that the random-dimer model is capable of explaining the insulator-metal transition in polyaniline.
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Cited by
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Izrailev, F. M., Krokhin, A. A., & Makarov, N. M. (2012) · Physics Reports · doi:10.1016/j.physrep.2011.11.002 · Cited by 274
Frequency doubling of Bloch oscillations for interacting electrons in a static electric field
Dias, W. S., Nascimento, E. M., Lyra, M. L., & de Moura, F. A. B. F. (2007) · Physical Review B · doi:10.1103/physrevb.76.155124 · Cited by 72
Metadata
- Authors
- Wu, H.-L., & Phillips, P.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1991-03-11
- Volume
- 66
- Issue
- 10
- Pages
- 1366-1369
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W2079982734
- Cited by
- 209
- References
- 0
- FWCI
- 18.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Polyaniline is a random-dimer model: A new transport mechanism for conducting polymers. https://app.cochat.ai/papers/10.1103/physrevlett.66.1366
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- Wu, H.-L., & Phillips, P. (1991). Polyaniline is a random-dimer model: A new transport mechanism for conducting polymers. Physical Review Letters. https://doi.org/10.1103/physrevlett.66.1366
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
