File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

정후영

Jeong, Hu Young
UCRF Electron Microscopy group
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Synaptic Barristor Based on Phase-Engineered 2D Heterostructures

Author(s)
Huh, WoongJang, SeonghoonLee, Jae YoonLee, DonghunLee, Jung MinPark, Hong-GyuKim, Jong ChanJeong, Hu YoungWang, GunukLee, Chul-Ho
Issued Date
2018-08
DOI
10.1002/adma.201801447
URI
https://scholarworks.unist.ac.kr/handle/201301/24930
Fulltext
https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.201801447
Citation
ADVANCED MATERIALS, v.30, no.35, pp.1801447
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.
Publisher
WILEY-V C H VERLAG GMBH
ISSN
0935-9648
Keyword (Author)
2D materialsartificial synapsebarristorheterostructurememristorneuromorphic application
Keyword
DER-WAALS HETEROSTRUCTURESMEMRISTIVE DEVICESTRANSISTORSMEMORYPLASTICITYTRANSPORTMECHANISMASTROCYTESSYNAPSESSYSTEMS

qrcode

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