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  • LCO Synaptic Transistor-0103

    Rights statement: This is the author’s version of a work that was accepted for publication in Nano Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Nano Energy, 108, 2023 DOI: 10.1016/j.nanoen.2023.108199

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Tunable electrical field-induced metal-insulator phase separation in LiCoO2 synaptic transistor operating in post-percolation region

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Article number108199
<mark>Journal publication date</mark>30/04/2023
<mark>Journal</mark>Nano Energy
Volume108
Number of pages11
Publication StatusPublished
Early online date11/01/23
<mark>Original language</mark>English

Abstract

While mixed ionic-electronic conductors with metal-insulator transition (MIT) are promising candidates for designing neuromorphic computing hardware, the fundamentals of resistive switching in these materials are yet to be well understood. This work studies the switching mechanism of the three-terminal nonvolatile redox transistor (NVRT) containing the LiCoO2 (LCO) channel layer with tunable preferred crystallographic orientation. We used atomic force microscope nanotomography to reconstruct the 3D conductance map of NVRTs, that reveals the applied gate electric-field induces the MIT via reversible phase separation in the LCO channel layer, with the nonequilibrium thermodynamics analytical model providing validation to this mechanism. By operating in the post-percolation region, the memory properties can continuously adjust the conductance states of NVRTs. The percolation conductance mechanism via the metallic LCO phase ensures the exceptional linearity and reproducibility of conductance modulation, whereas the field-, rather than current-, induced transition results in the low energy consumption replicating key features of the living neural cells.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Nano Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Nano Energy, 108, 2023 DOI: 10.1016/j.nanoen.2023.108199