Journal
MATERIALS TODAY ADVANCES
Volume 18, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.mtadv.2023.100393
Keywords
Electric double layer transistor; Proton conductor; Hydrogenated-diamond; Neuromorphic computing; Reservoir computing; Ionics
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All-solid-state electric double layer transistors (ASS-EDLTs) have attracted attention for their potential use in neuromorphic device applications, but their low switching response speed is a significant drawback. We demonstrated ultrafast-switching of ASS-EDLTs by combining hydrogenated diamond single crystal and a porous yttria stabilized zirconia thin film with high proton conductivity. The ASS-EDLT achieved a very short response time of less than a hundred ms (27 ms) at room temperature, which is much shorter than typical conventional ASSEDLTs.
All-solid-state electric double layer transistors (ASS-EDLTs) have recently been attracting attention because of their huge potential for use in neuromorphic device applications. However, their low switching response speed is a significant drawback to their practical application. Here, we demonstrate ultrafast-switching of ASS-EDLTs, which was achieved by an excellent combination of hydrogenated diamond single crystal and a porous yttria stabilized zirconia thin film with extremely high proton conductivity. The switching response speed was investigated in response to gate voltage pulses. We achieved the ASS-EDLT that can operate at a very short response time of less than a hundred ms (i.e., 27 ms), even at room temperature. This is a far shorter time than that found in typical conventional ASSEDLTs, which characteristically have response times measured in milliseconds or longer. Furthermore, the subject ASS-EDLT possessed characteristics that are similar to those of volatile memory devices. To demonstrate neuromorphic computing capability of the device, waveform transformation task has been performed. The results indicated that the ASS-EDLT, with its high operating speed, can contribute to the development of high-speed neuromorphic systems.& COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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