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Boolean and elementary algebra with a roll-to-roll printed electrochemical memristor
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SYSNO ASEP 0557281 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Boolean and elementary algebra with a roll-to-roll printed electrochemical memristor Author(s) Grant, B. (US)
Bandera, Y. (US)
Foulger, S. H. (US)
Vilčáková, J. (CZ)
Sáha, P. (CZ)
Pfleger, Jiří (UMCH-V) RIDArticle number 2101108 Source Title Advanced Materials Technologies - ISSN 2365-709X
Roč. 7, č. 5 (2022)Number of pages 8 s. Language eng - English Country US - United States Keywords conjugated polymer ; low-power programming ; S-PEDOT Subject RIV CD - Macromolecular Chemistry OECD category Polymer science R&D Projects LTAUSA19066 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Limited access Institutional support UMCH-V - RVO:61389013 UT WOS 000711524400001 EID SCOPUS 85118227491 DOI 10.1002/admt.202101108 Annotation A non-volatile conjugated polymer-based electrochemical memristor (cPECM), derived from sodium 4-[(2,3-dihydrothieno[3,4-b][1,4]dioxin-2-yl)methoxy]butane-2-sulfonate (S-EDOT), is fabricated through roll-to-roll printing and exhibited neuromorphic properties. The 3-terminal device employed a “read” channel where conductivity of the water-soluble, self-doped S-PEDOT is equated to synaptic weight and was electrically decoupled from the programming electrode. For the model system, a +2500 mV programming pulse of 100 ms duration resulted in a 0.136 μS resolution in conductivity change, giving over 1000 distinct conductivity states for one cycle. The minimum programming power requirements of the cPECM was 0.31 pJ mm−2 and with advanced printing techniques, a 0.1 fJ requirement for a 20 μm device is achievable. The mathematical operations of addition, subtraction, multiplication, and division are demonstrated with a single cPECM, as well as the logic gates AND, OR, NAND, and NOR. This demonstration of a printed cPECM is the first step toward the implementation of a mass produced electrochemical memristor that combines information storage and processing and may allow for the realization of printable artificial neural networks.
Workplace Institute of Macromolecular Chemistry Contact Eva Čechová, cechova@imc.cas.cz ; Tel.: 296 809 358 Year of Publishing 2023 Electronic address https://onlinelibrary.wiley.com/doi/10.1002/admt.202101108
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