Journal
SMALL
Volume 17, Issue 30, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202100242
Keywords
artificial synapse; electrolyte-gated field-effect transistor; oxygen plasma treatment; proton-electron coupling; solid-state electrolyte
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Funding
- Nano Material Technology Development Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning [2016M3A7B4910426]
- Basic Science Research Program within the Ministry of Science, ICT, and Future Planning through the National Research Foundation of Korea [2020R1A2C2004029]
- National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2020M3F3A2A01082329]
- National Research Foundation of Korea [2020M3F3A2A01082329, 2020R1A2C2004029] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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The study presents an artificial synapse device based on a 3-terminal solid-state electrolyte-gated transistor, achieving excellent synaptic characteristics and demonstrating high repeatability and long-term plasticity at low power consumption.
Presently, the 3-terminal artificial synapse device has been in focus for neuromorphic computing systems owing to its excellent weight controllability. Here, an artificial synapse device based on the 3-terminal solid-state electrolyte-gated transistor is proposed to achieve outstanding synaptic characteristics with a human-like mechanism at low power. Novel synaptic characteristics are accomplished by precisely tuning the threshold voltage using the proton-electron coupling effect, which is caused by proton migration inside the electrolyte. However, these synaptic characteristics are degraded because traps at the interface of channel/electrolyte disturb the proton-electron coupling effect. To minimize degradation, the oxygen plasma treatment is performed to reduce interface traps. As a result, symmetric weight updates and outstanding synaptic characteristics are achieved. Furthermore, high repeatability and long-term plasticity are observed at low operating power, which is essential for artificial synapses. Therefore, this study shows the progress of artificial synapses and proposes a promising method, a low-power neuromorphic system, to achieve high accuracy.
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