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Synaptic Barristor Based on Phase-Engineered 2D Heterostructures

delete2018-07-17
delete157
PRE
AI
W
Woong Huh
S
Seonghoon Jang
J
Jae Yoon Lee
D
Donghun Lee
L
Lee, Donghun
J
Jung Min Lee
H
Hong‐Gyu Park
J
Jong Chan Kim
H
Hu Young Jeong
G
Gunuk Wang
C
Chul‐Ho Lee *
DOI:10.1002/adma.201801447delete
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Abstract

Abstract

En 中文
The development of energy-efficient artificial synapses capable of manifoldly tuning synaptic activities can provide a significant breakthrough toward novel neuromorphic computing technology. Here, a new class of artificial synaptic architecture, a three-terminal device consisting of a vertically integrated monolithic tungsten oxide memristor, and a variable-barrier tungsten selenide/graphene Schottky diode, termed as a 'synaptic barrister,' are reported. The device can implement essential synaptic characteristics, such as short-term plasticity, long-term plasticity, and paired-pulse facilitation. Owing to the electrostatically controlled barrier height in the ultrathin van der Waals heterostructure, the device exhibits gate-controlled memristive switching characteristics with tunable programming voltages of 0.2-0.5 V. Notably, by electrostatic tuning with a gate terminal, it can additionally regulate the degree and tuning rate of the synaptic weight independent of the programming impulses from source and drain terminals. Such gate tunability cannot be accomplished by previously reported synaptic devices such as memristors and synaptic transistors only mimicking the two-neuronal-based synapse. These capabilities eventually enable the accelerated consolidation and conversion of synaptic plasticity, functionally analogous to the synapse with an additional neuromodulator in biological neural networks.
Keywords:
2D materials
artificial synapse
barristor
heterostructure
memristor
neuromorphic application
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Journal

Advanced Materials cover
Advanced Materials
IF:
26.8
Papers:
3.4W
Citations:
46.0W

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