Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Synaptic Barristor Based on Phase-Engineered 2D Heterostructures

Authors
Huh, WoongJang, SeonghoonLee, Jae YoonLee, DonghunLee, DonghunLee, Jung MinPark, Hong-GyuKim, Jong ChanJeong, Hu YoungWang, GunukLee, Chul-Ho
Issue Date
29-8월-2018
Publisher
WILEY-V C H VERLAG GMBH
Keywords
2D materials; artificial synapse; barristor; heterostructure; memristor; neuromorphic application
Citation
ADVANCED MATERIALS, v.30, no.35
Indexed
SCIE
SCOPUS
Journal Title
ADVANCED MATERIALS
Volume
30
Number
35
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/73720
DOI
10.1002/adma.201801447
ISSN
0935-9648
Abstract
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science > Department of Physics > 1. Journal Articles
Graduate School > KU-KIST Graduate School of Converging Science and Technology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE