Modulating Alkyl Groups in Copolymer to Control Ion Transport in Electrolyte‐Gated Organic Transistors for Neuromorphic Computing
Electrolyte‐gated organic synaptic transistors (EGOSTs) have shed light on their potential in bioelectronics and neuromorphic computing. Numerous research have been studied to modulate their electrochemical doping performance and formulate a simple approach to control iontronics through the side‐chain modulations; however, the effects of alkyl groups as side moieties have not been studied in detail on EGOSTs. Herein, the structural and electrical properties of conjugated polymers are systematically controlled through copolymerization with two different‐alkyl group‐derived monomers for enhancing the nonvolatile characteristics of EGOSTs. The relationships between crystal orientation and electrochemical doping states of conjugated copolymers, which varied with the different copolymerization ratios, are revealed. Also, the behavior of biological synapses, including paired‐pulse facilitation, spike timing‐dependent plasticity, and long‐term potentiation/depression, are successfully simulated. In this study, new avenues are opened for the implementation of neuromorphic devices through side‐chain engineering by showing that the alkyl chain modulates the doping performance.
Authors
- Joonhee Kang (ORCID: https://orcid.org/0000-0002-8725-4024)
- Minseok Kang (ORCID: https://orcid.org/0000-0002-7021-6873)
- Eunho Lee (ORCID: https://orcid.org/0000-0002-8564-6999)
- Sein Chung (ORCID: https://orcid.org/0000-0003-3953-5208)
- Donghwa Lee (ORCID: https://orcid.org/0000-0002-8956-3648)
- Yongchan Jang
- Minji Kim (ORCID: https://orcid.org/0000-0001-5588-5414)
- So-Young Kim (ORCID: https://orcid.org/0000-0001-7074-9066)
- Hee‐Young Lee
- Wonho Lee (ORCID: https://orcid.org/0000-0003-1323-8184)
- Junho Sung (ORCID: https://orcid.org/0009-0002-0513-2072)
Institutions
- Kumoh National Institute of Technology (KR)
- Seoul National University of Science and Technology (KR)
- Pohang University of Science and Technology (KR)
- Pusan National University (KR)
Publication Details
- Journal
- Small Structures
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1002/sstr.202400319
- Citations
- 12
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.50
Funders
- National Research Foundation
- Ministry of Trade, Industry and Energy
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea