用于图像处理和模式识别的空位有序双过氧化物忆阻器

IF 4 2区 医学 Q2 CHEMISTRY, MEDICINAL ACS Infectious Diseases Pub Date : 2024-11-01 DOI:10.1016/j.matt.2024.10.006
Wentong Li, Yanyun Ren, Tianwei Duan, Hao Tang, Hao Li, Kaihuan Zhang, Yu Sun, Xiaoyu Zhang, Weitao Zheng, Martyn A. McLachlan, Zhongrui Wang, Yuanyuan Zhou, Jiaqi Zhang
{"title":"用于图像处理和模式识别的空位有序双过氧化物忆阻器","authors":"Wentong Li, Yanyun Ren, Tianwei Duan, Hao Tang, Hao Li, Kaihuan Zhang, Yu Sun, Xiaoyu Zhang, Weitao Zheng, Martyn A. McLachlan, Zhongrui Wang, Yuanyuan Zhou, Jiaqi Zhang","doi":"10.1016/j.matt.2024.10.006","DOIUrl":null,"url":null,"abstract":"High-performance memristors have emerged as efficient hardware for integrating noisy image recognition and noise reduction. Herein, we report a fast-switching memristor featuring tens of nanoseconds switching time fabricated using a vacancy-ordered double perovskite, Cs<sub>2</sub>TiBr<sub>6</sub> nanocrystals. The spatially ordered vacancies in the double perovskite facilitate the predictable formation and rupture of conductive filaments, which are explored through a comprehensive simulation using the finite element analysis physical model. These unique microscopic features suppress random conducting filament growth and enhance bromine vacancy diffusion, boosting memristor switching speed. A further study of synapse-like behaviors reveals that Cs<sub>2</sub>TiBr<sub>6</sub>-based memristors exhibit high robustness and reproducibility. We further developed the crossbar-array memristors as artificial neural networks for image denoising and classification, achieving a 10% increase in recognition accuracy for pre-denoised images over non-denoised samples. Our work highlights the potential of intrinsic vacancy-ordered memristive materials for advancing efficient, real-time, robust visual recognition.","PeriodicalId":17,"journal":{"name":"ACS Infectious Diseases","volume":"213 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vacancy-ordered double-perovskite-based memristors for image processing and pattern recognition\",\"authors\":\"Wentong Li, Yanyun Ren, Tianwei Duan, Hao Tang, Hao Li, Kaihuan Zhang, Yu Sun, Xiaoyu Zhang, Weitao Zheng, Martyn A. McLachlan, Zhongrui Wang, Yuanyuan Zhou, Jiaqi Zhang\",\"doi\":\"10.1016/j.matt.2024.10.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-performance memristors have emerged as efficient hardware for integrating noisy image recognition and noise reduction. Herein, we report a fast-switching memristor featuring tens of nanoseconds switching time fabricated using a vacancy-ordered double perovskite, Cs<sub>2</sub>TiBr<sub>6</sub> nanocrystals. The spatially ordered vacancies in the double perovskite facilitate the predictable formation and rupture of conductive filaments, which are explored through a comprehensive simulation using the finite element analysis physical model. These unique microscopic features suppress random conducting filament growth and enhance bromine vacancy diffusion, boosting memristor switching speed. A further study of synapse-like behaviors reveals that Cs<sub>2</sub>TiBr<sub>6</sub>-based memristors exhibit high robustness and reproducibility. We further developed the crossbar-array memristors as artificial neural networks for image denoising and classification, achieving a 10% increase in recognition accuracy for pre-denoised images over non-denoised samples. Our work highlights the potential of intrinsic vacancy-ordered memristive materials for advancing efficient, real-time, robust visual recognition.\",\"PeriodicalId\":17,\"journal\":{\"name\":\"ACS Infectious Diseases\",\"volume\":\"213 1\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Infectious Diseases\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1016/j.matt.2024.10.006\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Infectious Diseases","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.matt.2024.10.006","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

摘要

高性能忆阻器已成为集成噪声图像识别和降噪功能的高效硬件。在此,我们报告了一种快速开关忆阻器,它采用空位有序双包晶Cs2TiBr6纳米晶体制造,具有数十纳秒的开关时间。双包晶石中的空间有序空位促进了导电丝的可预测形成和断裂,我们利用有限元分析物理模型对其进行了全面模拟。这些独特的微观特征抑制了导电丝的随机生长,并增强了溴空位扩散,从而提高了忆阻器的开关速度。对类似突触行为的进一步研究表明,基于 Cs2TiBr6 的忆阻器具有很高的鲁棒性和可重复性。我们进一步开发了用于图像去噪和分类的人工神经网络交叉阵列忆阻器,使预变色图像的识别准确率比未变色样本提高了 10%。我们的工作凸显了本征空位有序忆阻器材料在推进高效、实时、稳健视觉识别方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Vacancy-ordered double-perovskite-based memristors for image processing and pattern recognition
High-performance memristors have emerged as efficient hardware for integrating noisy image recognition and noise reduction. Herein, we report a fast-switching memristor featuring tens of nanoseconds switching time fabricated using a vacancy-ordered double perovskite, Cs2TiBr6 nanocrystals. The spatially ordered vacancies in the double perovskite facilitate the predictable formation and rupture of conductive filaments, which are explored through a comprehensive simulation using the finite element analysis physical model. These unique microscopic features suppress random conducting filament growth and enhance bromine vacancy diffusion, boosting memristor switching speed. A further study of synapse-like behaviors reveals that Cs2TiBr6-based memristors exhibit high robustness and reproducibility. We further developed the crossbar-array memristors as artificial neural networks for image denoising and classification, achieving a 10% increase in recognition accuracy for pre-denoised images over non-denoised samples. Our work highlights the potential of intrinsic vacancy-ordered memristive materials for advancing efficient, real-time, robust visual recognition.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Infectious Diseases
ACS Infectious Diseases CHEMISTRY, MEDICINALINFECTIOUS DISEASES&nb-INFECTIOUS DISEASES
CiteScore
9.70
自引率
3.80%
发文量
213
期刊介绍: ACS Infectious Diseases will be the first journal to highlight chemistry and its role in this multidisciplinary and collaborative research area. The journal will cover a diverse array of topics including, but not limited to: * Discovery and development of new antimicrobial agents — identified through target- or phenotypic-based approaches as well as compounds that induce synergy with antimicrobials. * Characterization and validation of drug target or pathways — use of single target and genome-wide knockdown and knockouts, biochemical studies, structural biology, new technologies to facilitate characterization and prioritization of potential drug targets. * Mechanism of drug resistance — fundamental research that advances our understanding of resistance; strategies to prevent resistance. * Mechanisms of action — use of genetic, metabolomic, and activity- and affinity-based protein profiling to elucidate the mechanism of action of clinical and experimental antimicrobial agents. * Host-pathogen interactions — tools for studying host-pathogen interactions, cellular biochemistry of hosts and pathogens, and molecular interactions of pathogens with host microbiota. * Small molecule vaccine adjuvants for infectious disease. * Viral and bacterial biochemistry and molecular biology.
期刊最新文献
In Vivo Activity Profiling of Biosynthetic Darobactin D22 against Critical Gram-Negative Pathogens. Niacin-Cholic Acid-Peptide Conjugate Act as a Potential Antibiotic Adjuvant to Mitigate Polymicrobial Infections Caused by Gram-Negative Pathogens. Polyamine-Enriched Exosomes from Leishmania donovani Drive Host Macrophage Polarization via Immunometabolism Reprogramming. Accelerating Antimalarial Drug Discovery with a New High-Throughput Screen for Fast-Killing Compounds. Repurposing Benzbromarone as an Antibacterial Agent against Gram-Positive Bacteria.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1