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Published on: December 21, 2017
Linear and Nonlinear Rheological Investigations of Poly(3-hexylthiophene) H-Aggregated Gel Networks
Gopal Lal Dhakar1, Sudip Malik1
1School of Applied and Interdisciplinary Sciences, Indian Association for the Cultivation of Science, 2A & 2B Raja S. C. Mullick Road, Jadavpur, Kolkata 700032, India.
Poly(3-hexylthiophene) (P3HT) aggregation in solvents controls its structure and morphology. H-type aggregation forms gels, while J-type does not, offering insights into conducting polymer networks.
Area of Science:
- Organic electronics
- Polymer science
- Materials science
Background:
- Poly(3-hexylthiophene) (P3HT) is a cost-effective polymer widely used in organic electronics.
- Controlling P3HT chain packing and morphology is crucial but challenging, depending heavily on solvent polarity.
- Achieving well-defined P3HT structures requires understanding aggregation behaviors in various solvents.
Purpose of the Study:
- To investigate P3HT aggregation in solvents of varying polarities.
- To achieve different P3HT chain orderings (H-type and J-type aggregates).
- To correlate aggregation behavior with structural, morphological, and rheological properties.
Main Methods:
- Absorption spectroscopy to study aggregation.
- X-ray powder diffraction for structural analysis.
- Topological studies for morphology.
- Small-amplitude oscillatory shear (SAOS) and large-amplitude oscillatory shear (LAOS) for rheological properties.
Main Results:
- P3HT forms H-type aggregates in anisole/phenetole and J-type aggregates in toluene.
- H-type aggregation at low concentrations (0.001 g/cm³) leads to gel formation, ceasing solvent flow.
- J-type aggregation in toluene does not form gels at the same concentration.
- Quantitative rheological analysis revealed nonlinear characteristics of P3HT networks.
Conclusions:
- Solvent polarity dictates P3HT aggregation type (H-type vs. J-type).
- H-type aggregation is essential for forming P3HT gel networks with unique viscoelastic properties.
- This study provides critical rheological data for understanding conducting polymer networks.
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