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Oxide-based RRAM materials for neuromorphic computing

delete2018-02-20
delete241
PRE
AI
X
XiaoLiang Hong
D
Desmond JiaJun Loy
P
Putu Andhita Dananjaya
F
Funan Tan
C
CheeMang Ng
W
WenSiang Lew *
DOI:10.1007/s10853-018-2134-6delete
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摘要

摘要

En 中文
In this review, a comprehensive survey of different oxide-based resistive random-access memories (RRAMs) for neuromorphic computing is provided. We begin with the history of RRAM development, physical mechanism of conduction, fundamental of neuromorphic computing, followed by a review of a variety of RRAM oxide materials (PCMO, HfOx, TaOx, TiOx, NiOx, etc.) with a focus on their application for neuromorphic computing. Our goal is to give a broad review of oxide-based RRAM materials that can be adapted to neuromorphic computing and to help further ongoing research in the field.
Keyword:
RESISTIVE SWITCHING BEHAVIOR
TIMING-DEPENDENT PLASTICITY
LONG-TERM POTENTIATION
MEMORY DEVICES
HIGH-SPEED
THIN-FILM
LOW-POWER
IMPLEMENTATION
RESISTANCE
SYNAPSE
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期刊

Journal of Materials Science 封面图
Journal of Materials Science
IF:
3.9
论文数:
3.2W
被引数:
7.2W

机构

N
Nanyang Technological University
学者数:
4.9W
论文数: 4.8W
被引数: 8.1W
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