亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A general strategy for manufacturing flexible synaptic transistors with high mechanical stability

神经形态工程学 材料科学 兴奋性突触后电位 突触后电流 弯曲 计算机科学 晶体管 人工神经网络 光电子学 人工智能 神经科学 复合材料 电压 抑制性突触后电位 电气工程 生物 工程类
作者
Bingyong Zhuang,Xiumei Wang,Chuanbin An,Congyong Wang,Lujian Liu,Huipeng Chen,Tailiang Guo,Wenping Hu
出处
期刊:Science China. Materials [Springer Science+Business Media]
卷期号:66 (7): 2812-2821 被引量:1
标识
DOI:10.1007/s40843-022-2408-7
摘要

Flexible organic synaptic transistors (FOSTs) have attracted considerable attention owing to their flexibility, biocompatibility, ease of processing, and reduced complexity. However, FOSTs rarely maintain the mechanical stability of their synaptic properties while meeting the device deformation requirements. Here, we experimentally found that bending deformation had a greater influence on the synaptic performance (i.e., the excitatory postsynaptic current (EPSC) value) of FOSTs than on the on-state current. Moreover, through formula derivation, we proved that the density of bending-induced defect states generated near the channel considerably influences the synaptic performance. We propose a general approach to tune the stable segment of the device using an encapsulation layer. The EPSC value of the ordinary FOSTs without a regulated stable segment decreased by nearly 1.5–2 orders of magnitude after bending. In contrast, the designed flexible synaptic device exhibited relatively stable EPSC. Moreover, the designed FOST exhibited stable paired-pulse facilitation, long-term potentiation, and optical synaptic performance. Furthermore, neuromorphic computational simulations based on our device before and after 500 bending cycles were performed using a handwritten artificial neural network. The device showed stable recognition accuracy after 50 learning cycles (91.55% in the initial state and 90.43% after 500 bending cycles). The successful application of a stable segment in flexible synaptic transistors provides a convenient and simple idea for fabricating flexible neuromorphic electronics with mechanical stability.

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
几一昂完成签到 ,获得积分10
2秒前
坚定铸海完成签到,获得积分10
4秒前
kd7发布了新的文献求助10
6秒前
体贴雪萍完成签到,获得积分10
6秒前
lllable完成签到,获得积分10
7秒前
赘婿应助哈哈采纳,获得10
8秒前
小魏小魏发布了新的文献求助10
9秒前
顾矜应助樊珩采纳,获得10
10秒前
科研通AI6.4应助樊珩采纳,获得10
17秒前
18秒前
19秒前
21秒前
阔达忆秋完成签到 ,获得积分10
22秒前
22秒前
大佬求求了完成签到,获得积分10
23秒前
24秒前
科研通AI6.4应助樊珩采纳,获得10
25秒前
Nokia发布了新的文献求助10
25秒前
25秒前
哈哈发布了新的文献求助10
25秒前
27秒前
gyh完成签到,获得积分10
28秒前
天天快乐应助Nokia采纳,获得10
29秒前
29秒前
吴志亮发布了新的文献求助10
30秒前
30秒前
打我呀发布了新的文献求助10
31秒前
科研通AI6.3应助樊珩采纳,获得10
33秒前
37秒前
情怀应助想喝三碗粥采纳,获得10
39秒前
科研通AI6.2应助樊珩采纳,获得10
40秒前
cjy完成签到 ,获得积分10
40秒前
清秀的落雁完成签到,获得积分10
40秒前
yuli完成签到 ,获得积分10
43秒前
44秒前
46秒前
46秒前
48秒前
50秒前
51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
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
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 7496300
求助须知:如何正确求助?哪些是违规求助? 9087262
关于积分的说明 19382316
捐赠科研通 7107427
什么是DOI,文献DOI怎么找? 3249980
关于科研通互助平台的介绍 2419412
邀请新用户注册赠送积分活动 2235736