Directed Growth of Dendritic Polymer Networks for Organic Electrochemical Transistors and Artificial Synapses,Advanced Electronic Materials

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Directed Growth of Dendritic Polymer Networks for Organic Electrochemical Transistors and Artificial Synapses
Advanced Electronic Materials ( IF 5.3 ) Pub Date : 2021-08-02 , DOI: 10.1002/aelm.202100586
Matteo Cucchi ₁ , Hans Kleemann ₁ , Hsin Tseng ₁ , Giuseppe Ciccone ₁ , Alexander Lee ₁ , Darius Pohl ₂ , Karl Leo ₁

Affiliation

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.

中文翻译：

用于有机电化学晶体管和人工突触的树枝状聚合物网络的定向生长

有机电化学晶体管 (OECT) 是一类新兴的器件，可在电解液中运行并显示出可控的记忆效应。由于这些原因，OECT 在生物电子学和神经形态计算方面具有巨大的应用潜力。在提出的制造 OECT 通道的方法中，电聚合脱颖而出，因为它允许根据需要在基板上产生电连接，并进一步修改它们以调整它们的电气特性以满足电路要求。然而，这种方法的实际应用受到难以控制生长方向和薄膜形态的阻碍，导致器件之间存在较大的可变性并限制了器件的缩小规模。在这项研究中，交流电聚合被提议用于产生定向控制的通道。该方法允许通过改变聚合参数（如电压、频率和盐浓度）来调整物理特性，如电阻和电容。研究了生长机制、材料形态和网络拓扑，并通过显示可调神经形态特征和将通道缩小到微米尺度的可能性来证明这种方法的优势。

更新日期：2021-08-02

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