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...
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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2018
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| In: |
Advanced functional materials
Year: 2017, Volume: 28, Issue: 15 |
| ISSN: | 1616-3028 |
| DOI: | 10.1002/adfm.201703280 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1002/adfm.201703280 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.201703280 
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| Author Notes: | Guangzheng Zuo, Xianjie Liu, Mats Fahlman, and Martijn Kemerink |
| Summary: | 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. |
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| Item Description: | First published: 07 November 2017 Gesehen am 27.11.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1616-3028 |
| DOI: | 10.1002/adfm.201703280 |