Boolean and Elementary Algebra with a Roll‐To‐Roll Printed Electrochemical Memristor. Issue 5 (27th October 2021)

• Record Type: Journal Article
• Authors: Grant, Benjamin; Bandera, Yuriy; Foulger, Stephen H.; Vilčáková, Jarmila; Sáha, Petr; Pfleger, Jiří
• Is Part Of: Advanced materials technologies. Volume 7:Issue 5(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-10-27
• Subjects: conjugated polymer -- low‐power programming -- S‐PEDOT; Materials science -- Periodicals; Technological innovations -- Periodicals; Materials science; Technological innovations; Periodicals; 620.1105
• DOI: 10.1002/admt.202101108
• Languages: English
• ISSNs: 2365-709X

Abstract

Abstract: 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. Abstract : A non‐volatile conjugated polymeric electrochemical memristor is fabricated through roll‐to‐roll printing with a water‐soluble, self‐doped PEDOT (S‐PEDOT) that demonstrates neuromorphic computing, arithmetic, and logical operations. Over 1000 distinct conductance states per cycle is addressable with a low power consumption possible (0.31 pJ mm −2 per +/‐1000 mV programming pulse.