Litcius/Paper detail

Enhancement of Synaptic Characteristics Achieved by the Optimization of Proton–Electron Coupling Effect in a Solid‐State Electrolyte‐Gated Transistor

Dong‐Gyu Jin, Seung‐Hwan Kim, Seung‐Geun Kim, June Park, Euyjin Park, Hyun‐Yong Yu

2021Small26 citationsDOI

Abstract

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.

Topics & Concepts

Neuromorphic engineeringMaterials scienceControllabilitySynapseElectrolyteTransistorCoupling (piping)OptoelectronicsComputer scienceVoltageNanotechnologyBiological systemElectrical engineeringElectrodeArtificial neural networkChemistryNeuroscienceArtificial intelligenceEngineeringPhysical chemistryApplied mathematicsBiologyMathematicsMetallurgyAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeuroscience and Neural Engineering