In-Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics

生物电子学 晶体管 串扰 数码产品 计算机科学 电子线路 纳米技术 计算 导电体 集成电路 电气工程 电解质 电子工程 材料科学 工程类 化学 生物传感器 电压 电极 物理化学 算法
作者
Cucchi, Matteo,Parker, Daniela,Gkoupidenis, Paschalis,Stavrinidou, Eleni,Kleemann, Hans
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2210.16583
摘要

Next-generation implantable computational devices require long-term stable electronic components capable of operating in, and interacting with, electrolytic surroundings without being damaged. Organic electrochemical transistors (OECTs) emerged as fitting candidates. However, while single devices feature impressive figures of merit, integrated circuits (ICs) immersed in a common electrolytes are hard to realize using electrochemical transistors, and there is no clear path forward for optimal top-down circuit design and high-density integration. The simple observation that two OECTs immersed in the same electrolytic medium will inevitably interact hampers their implementation in complex circuitry. The electrolyte's ionic conductivity connects all the devices in the liquid, producing unwanted and often unforeseeable dynamics. Minimizing or harnessing this crosstalk has been the focus of very recent studies. In this Perspective, we discuss the main challenges, trends, and opportunities for realizing OECT-based circuitry in a liquid environment that could circumnavigate the hard limits of engineering and human physiology. We analyze the most successful approaches in autonomous bioelectronics and information processing. Elaborating on the strategies to circumvent and harness device crosstalk proves that platforms capable of complex computation and even machine learning can be realized in-liquido using mixed ionic-electronic conductors.

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