Scanning Tunneling Microscopy Investigation of Synaptic Behavior in AgInS2 Quantum Dots: Effect of Ion Transport in Neuromorphic Applications

神经形态工程学 扫描隧道显微镜 量子点 量子隧道 光电子学 离子 材料科学 纳米技术 物理 人工神经网络 计算机科学 量子力学 人工智能
作者
Atanu Betal,Anupam Chetia,Jayanta Bera,Dibyajyoti Saikia,Ashish Sharma,Arup K. Rath,Satyajit Sahu
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:7 (7): 7226-7236 被引量:2
标识
DOI:10.1021/acsanm.3c06272
摘要

Scanning tunneling microscopy (STM) is a powerful technique for investigating the nanoscale properties of functional materials. Additionally, scanning tunneling spectroscopy (STS) facilitates the determination of the local density of states (LDOS) within the material. In this study, we present an exploration of the resistive switching (RS) properties and neuromorphic computing capabilities of individual AgInS2 quantum dots, utilizing STM and STS techniques. By examining the material's bandgap and its temperature dependence, we uncover a nonlinear variation below the Debye temperature and a linear trend at higher temperatures. Moreover, STS measurements demonstrate changes in the conducting states induced by localized pulses, further confirming the unique characteristics of the quantum dots. The experimental devices constructed by using these quantum dots effectively replicate the RS properties observed at the nanoscale. To assess the neuromorphic application of the devices, pulse transient measurements simulating the learning and forgetting processes were conducted. The gradual set and reset processes successfully mimic the information retention and erasure capabilities essential for neuromorphic computing. Notably, the resistive switching mechanism in these devices is attributed to localized ionic transport, which highlights the significant involvement of ionic species in the observed RS behavior. The outcomes of this study contribute to the fundamental understanding of RS properties in single AgInS2 quantum dots and offer valuable insights into their potential applications in neuromorphic computing.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
小满发布了新的文献求助30
1秒前
在水一方应助daoyi采纳,获得10
1秒前
1秒前
abletoo完成签到,获得积分10
2秒前
3秒前
4秒前
4秒前
奋斗语柳完成签到,获得积分10
6秒前
陈一昂发布了新的文献求助30
7秒前
Liufgui应助李善聪采纳,获得21
8秒前
8秒前
9秒前
席白玉发布了新的文献求助10
11秒前
miamikk完成签到,获得积分10
11秒前
无语完成签到,获得积分10
12秒前
12秒前
比帅大赛冠军完成签到,获得积分20
12秒前
Hello应助xlk2222采纳,获得10
12秒前
kyuyami发布了新的文献求助30
12秒前
13秒前
雪满头应助TUTUTUTUTUTU采纳,获得10
14秒前
14秒前
无语发布了新的文献求助10
15秒前
momo完成签到,获得积分10
15秒前
ty发布了新的文献求助10
17秒前
无花果应助prince11采纳,获得10
17秒前
17秒前
苯梓川发布了新的文献求助10
17秒前
xuang完成签到,获得积分10
17秒前
tjzhaoll完成签到,获得积分10
18秒前
19秒前
19秒前
zpzp完成签到,获得积分20
19秒前
19秒前
小满完成签到,获得积分10
19秒前
深情安青应助DreamLover采纳,获得10
20秒前
希望天下0贩的0应助33采纳,获得10
20秒前
Zoo应助JSM采纳,获得50
21秒前
陈一昂完成签到,获得积分20
21秒前
Liufgui应助李善聪采纳,获得21
21秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 680
Planning For Autonomous Aerial Interception Of UAVs 550
Thermal Quadrupoles: Solving the Heat Equation through Integral Transforms 500
SPSS for Windows Step by Step: A Simple Study Guide and Reference, 17.0 Update (10th Edition) 500
Chinese Buddhist Monasteries: Their Plan and Its Function As a Setting for Buddhist Monastic Life 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4122222
求助须知:如何正确求助?哪些是违规求助? 3660188
关于积分的说明 11585947
捐赠科研通 3361453
什么是DOI,文献DOI怎么找? 1847080
邀请新用户注册赠送积分活动 911636
科研通“疑难数据库(出版商)”最低求助积分说明 827513