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Nano Research

Article Title

Bivariate-continuous-tunable interface memristor based on Bi2S3 nested nano-networks

Keywords

interface memristor, resistive switching, synaptic electronics, nanostructure

Abstract

A memristor that can emulate biological synapses is a promising basic-processing unit in neural-network computation. Here we propose a new-conceptual memristor based on a memoristive interface composed of two types of non-memristive materials, successfully realizing continuously tunable resistance controlled by both voltage (current) and applied time of a single pulse with a swift response comparable with synapses. The brain-like memorizing capability of the memristor is demonstrated. The memoristive mechanism in the interface is thought to be dominated by a Schottky barrier tuned by the capture/release of the carriers in interface traps with dispersive energy.

Graphical Abstract

Publisher

Tsinghua University Press

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