4.6 Article

Directed Growth of Dendritic Polymer Networks for Organic Electrochemical Transistors and Artificial Synapses

期刊

ADVANCED ELECTRONIC MATERIALS
卷 7, 期 10, 页码 -

出版社

WILEY
DOI: 10.1002/aelm.202100586

关键词

organic electrochemical transistor; organic electronics; organic networks

资金

  1. Hector foundation
  2. European Social Fund (ESF)
  3. Free State of Saxony [100382168]
  4. Projekt DEAL

向作者/读者索取更多资源

Organic electrochemical transistors (OECTs) are a promising class of devices for bioelectronics and neuromorphic computing due to their controllable memory effects. Electropolymerization is a standout method for fabricating OECT channels, allowing for on-demand electrical connections and modification of their properties. However, challenges in controlling growth direction and film morphology have limited practical application. AC-electropolymerization is proposed in this study to produce directionally controlled channels with adjustable physical properties, demonstrating tunable neuromorphic features and scalability to the micrometer level.
Organic electrochemical transistors (OECTs) are an emerging class of devices which operate in electrolytic solution and show controllable memory effects. For these reasons, OECT hold great potential for applications in bioelectronics and neuromorphic computing. Among the methods proposed to fabricate OECT channels, electropolymerization stands out because it allows to produce electrical connections on the substrates on-demand and further modify them to adjust their electrical properties to meet circuit requirements. However, the practical application of this method is hampered by the difficulty in controlling the growth direction as well as the morphology of the film, resulting in a large device-to-device variability and limiting the down-scaling of the devices. In this study, AC-electropolymerization is proposed to produce directionally controlled channels. The method allows to adjust physical properties such as resistance and capacitance by varying the polymerization parameters, such as voltage, frequency, and salt concentration. The growth mechanism, material morphology, and network topology is investigated, and the advantages of this approach by showing tunable neuromorphic features and the possibility to scale down the channels to the micrometer scale is demonstrated.

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