Side Chain Redistribution as a Strategy to Boost Organic Electrochemical Transistor Performance and Stability
Type
ArticleAuthors
Moser, Maximilian
Hidalgo, Tania Cecilia
Surgailis, Jokubas
Gladisch, Johannes
Ghosh, Sarbani

Sheelamanthula, Rajendar
Thiburce, Quentin

Giovannitti, Alexander

Salleo, Alberto
Gasparini, Nicola

Wadsworth, Andrew

Zozoulenko, Igor

Berggren, Magnus

Stavrinidou, Eleni

Inal, Sahika

McCulloch, Iain

KAUST Department
Organic Bioelectronics LaboratoryBiological Sciences and Engineering DivisionKing Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi ArabiaKAUST Solar Center (KSC)
Physical Science and Engineering (PSE) Division
Biological and Environmental Sciences and Engineering (BESE) Division
Bioscience Program
Chemical Science Program
KAUST Grant Number
OSR-2015-CRG4-2572Date
2020-08-05Online Publication Date
2020-08-05Print Publication Date
2020-09Submitted Date
2020-04-23Permanent link to this record
http://hdl.handle.net/10754/664556
Metadata
Show full item recordAbstract
A series of glycolated polythiophenes for use in organic electrochemical transistors (OECTs) is designed and synthesized, differing in the distribution of their ethylene glycol chains that are tethered to the conjugated backbone. While side chain redistribution does not have a significant impact on the optoelectronic properties of the polymers, this molecular engineering strategy strongly impacts the water uptake achieved in the polymers. By careful optimization of the water uptake in the polymer films, OECTs with unprecedented steady-state performances in terms of [μC*] and current retentions up to 98% over 700 electrochemical switching cycles are developed.Citation
Moser, M., Hidalgo, T. C., Surgailis, J., Gladisch, J., Ghosh, S., Sheelamanthula, R., … McCulloch, I. (2020). Side Chain Redistribution as a Strategy to Boost Organic Electrochemical Transistor Performance and Stability. Advanced Materials, 2002748. doi:10.1002/adma.202002748Sponsors
The authors acknowledge generous funding from KAUST for financial support. The research reported in this publication was supported by funding from King Abdullah University of Science and Technology Office of Sponsored Research (OSR) under award nos. OSR-2018-CARF/CCF-3079, OSR-2015-CRG4-2572, and OSR-4106 CPF2019. The authors acknowledge EC FP7 Project SC2 (610115), EC H2020 (643791), and EPSRC Projects EP/G037515/1, EP/M005143/1, and EP/L016702/1. J.G., S.G., I.Z., M.B., and E.S. acknowledge funding from Knut and Alice Wallenberg Foundation, The Wallenberg Wood Science Center (KAW 2018.0452) and the Swedish Government Strategic Research Area in Materials Science on Advanced Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU No. 2009-00971). The computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at NSC and HPC2N. A.G. and A.S. acknowledge funding from the TomKat Center for Sustainable Energy at Stanford University.Publisher
WileyJournal
Advanced MaterialsPubMed ID
32754923Additional Links
https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202002748https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202002748
ae974a485f413a2113503eed53cd6c53
10.1002/adma.202002748
Scopus Count
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