Side Chain Redistribution as a Strategy to Boost Organic Electrochemical Transistor Performance and Stability
Hidalgo, Tania Cecilia
KAUST DepartmentOrganic Bioelectronics LaboratoryBiological Sciences and Engineering DivisionKing Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia
KAUST Solar Center (KSC)
Physical Science and Engineering (PSE) Division
Biological and Environmental Sciences and Engineering (BESE) Division
Chemical Science Program
KAUST Grant NumberOSR-2015-CRG4-2572
Permanent link to this recordhttp://hdl.handle.net/10754/664556
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AbstractA 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.
CitationMoser, 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.202002748
SponsorsThe 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.
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