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In Liquido Computat...
In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics
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- Cucchi, Matteo (author)
- Ecole Polytech Fed Lausanne EPFL, Switzerland; Tech Univ Dresden, Germany
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- Parker, Daniela (author)
- Linköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten
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- Stavrinidou, Eleni, 1986- (author)
- Linköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten
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- Gkoupidenis, Paschalis (author)
- Max Planck Inst Polymer Res, Germany
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- Kleemann, Hans (author)
- Tech Univ Dresden, Germany
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(creator_code:org_t)
- 2023-02-22
- 2023
- English.
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In: Advanced Materials. - : WILEY-V C H VERLAG GMBH. - 0935-9648 .- 1521-4095. ; 35:15
- Related links:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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 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 electrolytes 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. Herein, 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, are discussed. The most successful approaches in autonomous bioelectronics and information processing are analyzed. Elaborating on the strategies to circumvent and harness device crosstalk proves that platforms capable of complex computation and even machine learning (ML) can be realized in liquido using mixed ionic-electronic conductors (OMIECs).
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- bioelectronics; electrochemical transistors; neuromorphic computing
Publication and Content Type
- ref (subject category)
- art (subject category)
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