Self-Assembled Polythiophene-Based Nanostructures: Numerical Studies
This review highlights recent advances achieved by different groups with various molecular simulation approaches for the prediction and fine‐tuning of the supramolecular organization of thiophene derivatives, oligo‐ and polythiophenes. The focus is on functionalized oligo‐ and polythiophenes, includ...
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Published in | Macromolecular theory and simulations Vol. 18; no. 4-5; pp. 219 - 246 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
WILEY-VCH Verlag
24.07.2009
WILEY‐VCH Verlag |
Subjects | |
Online Access | Get full text |
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Summary: | This review highlights recent advances achieved by different groups with various molecular simulation approaches for the prediction and fine‐tuning of the supramolecular organization of thiophene derivatives, oligo‐ and polythiophenes. The focus is on functionalized oligo‐ and polythiophenes, including bio‐inspired thiophene/peptide copolymers (“molecular chimeras”). The subject matter of the article is divided up into subsections covering electronic and structural properties of single molecules, solution and solid‐state self‐assembly, amorphous polythiophene and polymer blends, thiophene‐based nanomechanical devices, self‐organization on substrates and applications. A number of examples are used to provide experimental data with which to compare the theoretical predictions.
Nanometer‐size organic materials fabricated from thiophene derivatives represent an important new class of materials which are considered to be a promising alternative to traditional microelectronic devices. This review highlights recent advances achieved by different groups with various molecular simulation approaches for prediction and fine‐tuning of the supramolecular organization of thiophene derivatives, oligo‐ and poly‐thiophenes. The focus is on functionalized oligo‐ and poly‐thiophenes, including bio‐inspired thiophene/peptide copolymers (“molecular chimeras”). |
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Bibliography: | ark:/67375/WNG-928RCRTM-5 RFBR Deutsche Forschungsgemeinschaft istex:C6CC70BF340FA0225975D9372A3699859CAEA4C1 ArticleID:MATS200800090 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1022-1344 1521-3919 |
DOI: | 10.1002/mats.200800090 |