Litcius/Paper detail

Pr<sub>0.7</sub>Ca<sub>0.3</sub>MnO<sub>3</sub>-Based Three-Terminal Synapse for Neuromorphic Computing

Chuljun Lee, Krishn Gopal Rajput, Wooseok Choi, Myonghoon Kwak, Revannath Dnyandeo Nikam, Seyoung Kim, Hyunsang Hwang

2020IEEE Electron Device Letters36 citationsDOI

Abstract

In this letter, we report an all-solid-state Pr0.7 Ca0.3MnO3 (PCMO)-based three-terminal synapse device for neuromorphic computing. In this device structure, PCMO channel conductance can be precisely tuned to analog levels by modulating the O ion concentration in the channel using identical voltage pulses. It allows for the realization of excellent synaptic characteristics such as linear and symmetric conductance changes and stable conductance states. These properties are important to achieve nearly ideal performance of neuromorphic system and avoid complex system architecture. The obtained results strongly suggest that PCMO is a promising channel material to realize attractive synapse device for advanced neuromorphic computing.

Topics & Concepts

Neuromorphic engineeringTerminal (telecommunication)ConductanceSynapseRealization (probability)MemristorChannel (broadcasting)Computer scienceMaterials scienceOptoelectronicsElectronic engineeringPhysicsArtificial neural networkComputer networkEngineeringNeuroscienceArtificial intelligenceCondensed matter physicsMathematicsStatisticsBiologyAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesTransition Metal Oxide Nanomaterials