Unravelling the Data Retention Mechanisms under Thermal Stress on 2D Memristors

记忆电阻器 压力(语言学) 数据保留 材料科学 工程类 电子工程 光电子学 哲学 语言学
作者
Samuel Aldana,Hongzhou Zhang
出处
期刊:ACS omega [American Chemical Society]
卷期号:8 (30): 27543-27552 被引量:13
标识
DOI:10.1021/acsomega.3c03200
摘要

Memristors based on two-dimensional (2D) materials are a rapidly growing research area due to their potential in energy-efficient in-memory processing and neuromorphic computing. However, the data retention of these emerging memristors remains sparsely investigated, despite its crucial importance to device performance and reliability. In this study, we employ kinetic Monte-Carlo simulations to investigate the data retention of a 2D planar memristor. The operation of the memristor depends on field-driven on defect migration, while thermal diffusion gradually evens the defect distribution, leading to the degradation of the high resistance state (HRS) and diminishing the ON/OFF ratio. Notably, we examine the resilience of devices based on single crystals of transition metal dichalcogenides (TMDs) in harsh environments. Specifically, our simulations show that MoS2-based devices have negligible degradation after 10 years of thermal annealing at 400 K. Furthermore, the variability in data retention lifetime across different temperatures is less than 22%, indicating a relatively consistent performance over a range of thermal conditions. We also demonstrate that device miniaturization does not compromise data retention lifetime. Moreover, employing materials with higher activation energy for defect migration can significantly enhance data retention at the cost of increased switching voltage. These findings shed light on the behavior of 2D memristors and pave the way for their optimization in practical applications.

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
刚刚
1秒前
1秒前
科研通AI6应助科研草履虫采纳,获得30
1秒前
1秒前
大emo完成签到,获得积分10
2秒前
3秒前
3秒前
迷人雪碧发布了新的文献求助10
3秒前
4秒前
桐桐应助Ya采纳,获得10
4秒前
panda发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
5秒前
5秒前
zik应助FLZLC采纳,获得10
7秒前
Sunflower发布了新的文献求助10
7秒前
靓仔完成签到,获得积分10
7秒前
7秒前
嘟嘟完成签到,获得积分10
9秒前
shiyu发布了新的文献求助10
9秒前
无花果应助汀汀采纳,获得10
9秒前
领导范儿应助正直的西牛采纳,获得10
9秒前
顾矜应助guojingjing采纳,获得10
9秒前
10秒前
NOT完成签到 ,获得积分10
10秒前
思源应助科研通管家采纳,获得10
10秒前
温冰雪应助科研通管家采纳,获得10
10秒前
Lmmcer发布了新的文献求助10
10秒前
tanc完成签到,获得积分10
10秒前
10秒前
小蘑菇应助科研通管家采纳,获得30
10秒前
10秒前
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
10秒前
所所应助科研通管家采纳,获得10
10秒前
在水一方应助科研通管家采纳,获得10
10秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 10000
(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
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Digital and Social Media Marketing 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5620209
求助须知:如何正确求助?哪些是违规求助? 4704776
关于积分的说明 14929465
捐赠科研通 4761390
什么是DOI,文献DOI怎么找? 2550902
邀请新用户注册赠送积分活动 1513652
关于科研通互助平台的介绍 1474573