Nanostructured perovskites for nonvolatile memory devices

神经形态工程学 钙钛矿(结构) 数码产品 记忆电阻器 计算机科学 维数之咒 纳米技术 材料科学 非易失性存储器 晶体管 人工智能 电子工程 电气工程 人工神经网络 计算机硬件 工程类 电压 化学工程
作者
Qi Liu,Song Gao,Lei Xu,Wenjing Yue,Chunwei Zhang,Hao Kan,Yang Li,Guozhen Shen
出处
期刊:Chemical Society Reviews [Royal Society of Chemistry]
卷期号:51 (9): 3341-3379 被引量:147
标识
DOI:10.1039/d1cs00886b
摘要

Perovskite materials have driven tremendous advances in constructing electronic devices owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties, flexible dimensionality engineering, and so on. Particularly, emerging nonvolatile memory devices (eNVMs) based on perovskites give birth to numerous traditional paradigm terminators in the fields of storage and computation. Despite significant exploration efforts being devoted to perovskite-based high-density storage and neuromorphic electronic devices, research studies on materials' dimensionality that has dominant effects on perovskite electronics' performances are paid little attention; therefore, a review from the point of view of structural morphologies of perovskites is essential for constructing perovskite-based devices. Here, recent advances of perovskite-based eNVMs (memristors and field-effect-transistors) are reviewed in terms of the dimensionality of perovskite materials and their potentialities in storage or neuromorphic computing. The corresponding material preparation methods, device structures, working mechanisms, and unique features are showcased and evaluated in detail. Furthermore, a broad spectrum of advanced technologies (e.g., hardware-based neural networks, in-sensor computing, logic operation, physical unclonable functions, and true random number generator), which are successfully achieved for perovskite-based electronics, are investigated. It is obvious that this review will provide benchmarks for designing high-quality perovskite-based electronics for application in storage, neuromorphic computing, artificial intelligence, information security, etc.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
1秒前
YYY完成签到,获得积分10
2秒前
2秒前
隐形曼青应助李大宝采纳,获得10
3秒前
4秒前
lan发布了新的文献求助10
4秒前
4秒前
5秒前
6秒前
Akim应助hua采纳,获得10
6秒前
翁宇轩发布了新的文献求助10
6秒前
Yolo完成签到,获得积分10
6秒前
tlh发布了新的文献求助10
7秒前
8秒前
9秒前
三金发布了新的文献求助10
9秒前
CodeCraft应助何文鑫采纳,获得30
10秒前
文LL发布了新的文献求助10
10秒前
科研通AI6.3应助石头采纳,获得10
12秒前
二二春发布了新的文献求助10
13秒前
14秒前
15秒前
呆萌藏鸟完成签到,获得积分10
16秒前
想有所成发布了新的文献求助10
16秒前
17秒前
18秒前
hua发布了新的文献求助10
18秒前
饱满妙彤发布了新的文献求助10
19秒前
21秒前
21秒前
24秒前
Nole应助Howard采纳,获得30
24秒前
25秒前
科研通AI6.4应助ATX采纳,获得10
25秒前
25秒前
1024504036完成签到,获得积分10
27秒前
山山而川完成签到 ,获得积分10
27秒前
Nole应助荔枝段采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Direct and Iterative Linear System Solvers 500
Plato's Parmenides. A Constructive Reading 500
Vander's Renal Physiology第10版 500
Poetics of Cognition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7303948
求助须知:如何正确求助?哪些是违规求助? 8921992
关于积分的说明 18900060
捐赠科研通 6967438
什么是DOI,文献DOI怎么找? 3212046
关于科研通互助平台的介绍 2380806
邀请新用户注册赠送积分活动 2189238