Rational Materials Design for In Operando Electropolymerization of Evolvable Organic Electrochemical TransistorsShow others and affiliations
2022 (English)In: Advanced Functional Materials, ISSN 1616-301X, E-ISSN 1616-3028, Vol. 32, article id 2202292Article in journal (Refereed) Published
Abstract [en]
Organic electrochemical transistors formed by in operando electropolymerization of the semiconducting channel are increasingly becoming recognized as a simple and effective implementation of synapses in neuromorphic hardware. However, very few studies have reported the requirements that must be met to ensure that the polymer spreads along the substrate to form a functional conducting channel. The nature of the interface between the substrate and various monomer precursors of conducting polymers through molecular dynamics simulations is investigated, showing that monomer adsorption to the substrate produces an increase in the effective monomer concentration at the surface. By evaluating combinatorial couples of monomers baring various sidechains with differently functionalized substrates, it is shown that the interactions between the substrate and the monomer precursor control the lateral growth of a polymer film along an inert substrate. This effect has implications for fabricating synaptic systems on inexpensive, flexible substrates. © 2022 The Authors.
Place, publisher, year, edition, pages
John Wiley and Sons Inc , 2022. Vol. 32, article id 2202292
Keywords [en]
2;3-dihydrothieno[3, 4-b][1, 4]dioxin-5-yl)thiophene, 5-bis(2, electropolymerization, ETE-S, evolvable transistors, organic electrochemical transistors, silanes, synaptic transistors, Conductive films, Functional materials, Molecular dynamics, Monomers, Polymer films, Semiconducting films, Substrates, Transistors, 2;, 3-dihydrothieno[3, Electropolymerisation, Evolvable, Evolvable transistor, Synaptic transistor, Conducting polymers
National Category
Other Physics Topics
Identifiers
URN: urn:nbn:se:ri:diva-59344DOI: 10.1002/adfm.202202292Scopus ID: 2-s2.0-85130294374OAI: oai:DiVA.org:ri-59344DiVA, id: diva2:1669419
Note
Funding details: European Research Council, ERC, 834677; Funding details: Stiftelsen för Strategisk Forskning, SSF, RMX18‐0083; Funding details: Linköpings Universitet, LiU, SFO‐Mat‐LiU 2009‐00971; Funding details: Knut och Alice Wallenbergs Stiftelse; Funding details: Vetenskapsrådet, VR, 2018‐06197; Funding text 1: J.Y.G. and A.H. contributed equally to this work. This project was financially supported by the Swedish Foundation for Strategic Research (RMX18‐0083), the Swedish Research Council (2018‐06197), the European Research Council (834677 “e‐NeuroPharma” ERC‐2018‐ADG), and the Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO‐Mat‐LiU 2009‐00971). The authors also acknowledge financial support from the Knut and Alice Wallenberg Foundation and the Önnesjö Foundation. Part of the study was accomplished within MultiPark, and NanoLund —Strategic Research Areas at Lund University. The computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at NSC and HPC2N.
2022-06-142022-06-142024-03-22Bibliographically approved