High seebeck coefficient in mixtures of conjugated polymers
A universal method to obtain record-high electronic Seebeck coefficients is demonstrated while preserving reasonable conductivities in doped blends of organic semiconductors through rational design of the density of states (DOSs). A polymer semiconductor with a shallow highest occupied molecular orb...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2018
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| In: |
Advanced functional materials
Year: 2017, Jahrgang: 28, Heft: 15 |
| ISSN: | 1616-3028 |
| DOI: | 10.1002/adfm.201703280 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1002/adfm.201703280 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.201703280 |
| Verfasserangaben: | Guangzheng Zuo, Xianjie Liu, Mats Fahlman, and Martijn Kemerink |
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| 520 | |a A universal method to obtain record-high electronic Seebeck coefficients is demonstrated while preserving reasonable conductivities in doped blends of organic semiconductors through rational design of the density of states (DOSs). A polymer semiconductor with a shallow highest occupied molecular orbital (HOMO) level-poly(3-hexylthiophene) (P3HT) is mixed with materials with a deeper HOMO (PTB7, TQ1) to form binary blends of the type P3HTx:B1-x (0 ≤ x ≤ 1) that is p-type doped by F4TCNQ. For B = PTB7, a Seebeck coefficient S = 1100 µV K−1 with conductivity σ = 0.3 S m−1 at x = 0.10 is achieved, while for B = TQ1, S = 2000 µV K−1 and σ = 0.03 S m−1 at x = 0.05 is found. Kinetic Monte Carlo simulations with parameters based on experiments show good agreement with the experimental results, confirming the intended mechanism. The simulations are used to derive a design rule for parameter tuning. These results can become relevant for low-power, low-cost applications like (providing power to) autonomous sensors, in which a high Seebeck coefficient translates directly to a proportionally reduced number of legs in the thermogenerator, and hence in reduced fabrication cost and complexity. | ||
| 534 | |c 2017 | ||
| 650 | 4 | |a conjugated polymers | |
| 650 | 4 | |a doping | |
| 650 | 4 | |a kinetic Monte Carlo simulations | |
| 650 | 4 | |a organic thermoelectrics | |
| 650 | 4 | |a Seebeck coefficients | |
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