• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于LiCoO的忆阻器中SiO的锂离子俘获机制。

Lithium ion trapping mechanism of SiO in LiCoO based memristors.

作者信息

Hu Qi, Li Runmiao, Zhang Xinjiang, Gao Qin, Wang Mei, Shi Hongliang, Xiao Zhisong, Chu Paul K, Huang Anping

机构信息

School of Physics, Beihang University, Beijing, 100191, China.

Department of Physics and Department of Materials Science and Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China.

出版信息

Sci Rep. 2019 Mar 25;9(1):5081. doi: 10.1038/s41598-019-41508-3.

DOI:10.1038/s41598-019-41508-3
PMID:30911041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6434038/
Abstract

Pt/LiCoO/SiO/Si stacks with different SiO thicknesses are fabricated and the influence of SiO on memristive behavior is investigated. It is demonstrated that SiO can serve as Li ion trapping layer benefiting device retention, and the thickness of SiO must be controlled to avoid large SET voltage and state instability. Simulation model based on Nernst potential and diffusion potential is postulated for electromotive force in LiCoO based memristors. The simulation results show that SiO trapping layer decreases the total electromotive field of device and thereby prevents Li ions from migrating back to LiCoO. This model shows a good agreement with experimental data and reveals the Li ion trapping mechanism of SiO in LiCoO based memristors.

摘要

制备了具有不同SiO厚度的Pt/LiCoO/SiO/Si叠层,并研究了SiO对忆阻行为的影响。结果表明,SiO可作为锂离子俘获层,有利于提高器件的保持性能,且必须控制SiO的厚度以避免出现较大的设置电压和状态不稳定。基于能斯特电位和扩散电位假设了基于LiCoO的忆阻器中电动势的模拟模型。模拟结果表明,SiO俘获层降低了器件的总电动势,从而阻止锂离子迁移回LiCoO。该模型与实验数据吻合良好,揭示了基于LiCoO的忆阻器中SiO的锂离子俘获机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/0a39050ca60b/41598_2019_41508_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/77842f798c34/41598_2019_41508_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/24f9b9ff3ef6/41598_2019_41508_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/67681b3f5716/41598_2019_41508_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/aac57ce98434/41598_2019_41508_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/7c80f848a201/41598_2019_41508_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/0a39050ca60b/41598_2019_41508_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/77842f798c34/41598_2019_41508_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/24f9b9ff3ef6/41598_2019_41508_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/67681b3f5716/41598_2019_41508_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/aac57ce98434/41598_2019_41508_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/7c80f848a201/41598_2019_41508_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c6/6434038/0a39050ca60b/41598_2019_41508_Fig6_HTML.jpg

相似文献

1
Lithium ion trapping mechanism of SiO in LiCoO based memristors.基于LiCoO的忆阻器中SiO的锂离子俘获机制。
Sci Rep. 2019 Mar 25;9(1):5081. doi: 10.1038/s41598-019-41508-3.
2
Unveiling the Intrinsic Cycle Reversibility of a LiCoO Electrode at 4.8-V Cutoff Voltage through Subtractive Surface Modification for Lithium-Ion Batteries.通过锂离子电池的减法表面修饰揭示LiCoO电极在4.8V截止电压下的本征循环可逆性。
Nano Lett. 2019 Jan 9;19(1):29-37. doi: 10.1021/acs.nanolett.8b02902. Epub 2018 Oct 26.
3
Blow-Spinning Enabled Precise Doping and Coating for Improving High-Voltage Lithium Cobalt Oxide Cathode Performance.吹纺法实现精确掺杂与包覆以提升高压钴酸锂阴极性能
Nano Lett. 2020 Jan 8;20(1):677-685. doi: 10.1021/acs.nanolett.9b04486. Epub 2019 Dec 16.
4
Characteristics and properties of nano-LiCoO synthesized by pre-organized single source precursors: Li-ion diffusivity, electrochemistry and biological assessment.通过预组织单源前驱体合成的纳米LiCoO的特性与性质:锂离子扩散率、电化学及生物学评估。
J Nanobiotechnology. 2017 Aug 22;15(1):58. doi: 10.1186/s12951-017-0292-3.
5
Self-assembly of PEI/SiO2 on polyethylene separators for Li-ion batteries with enhanced rate capability.用于锂离子电池的具有增强倍率性能的PEI/SiO₂在聚乙烯隔膜上的自组装。
ACS Appl Mater Interfaces. 2015 Feb 11;7(5):3314-22. doi: 10.1021/am508149n. Epub 2015 Feb 2.
6
Atomic Insight into the Lithium Storage and Diffusion Mechanism of SiO2/Al2O3 Electrodes of Lithium Ion Batteries: ReaxFF Reactive Force Field Modeling.锂离子电池SiO₂/Al₂O₃电极锂存储与扩散机制的原子洞察:ReaxFF反应力场建模
J Phys Chem A. 2016 Apr 7;120(13):2114-27. doi: 10.1021/acs.jpca.5b11908. Epub 2016 Mar 25.
7
Improved Electrochemical Performances of LiCoO at Elevated Voltage and Temperature with an In Situ Formed Spinel Coating Layer.具有原位形成尖晶石涂层的 LiCoO 在高电压和高温下的电化学性能得到改善。
ACS Appl Mater Interfaces. 2018 Sep 19;10(37):31271-31279. doi: 10.1021/acsami.8b08264. Epub 2018 Sep 4.
8
Mechanism of Li intercalation/deintercalation into/from the surface of LiCoO2.锂嵌入/脱嵌钴酸锂表面的机制。
Phys Chem Chem Phys. 2015 Sep 21;17(35):22917-22. doi: 10.1039/c5cp02246k.
9
LiSiO-Based Artificial Passivation Thin Film for Improving Interfacial Stability of Li Metal Anodes.基于 LiSiO 的人工钝化薄膜,用于提高锂金属负极的界面稳定性。
ACS Appl Mater Interfaces. 2018 Mar 14;10(10):8692-8701. doi: 10.1021/acsami.7b18997. Epub 2018 Mar 5.
10
Preparation of a Si/SiO -Ordered-Mesoporous-Carbon Nanocomposite as an Anode for High-Performance Lithium-Ion and Sodium-Ion Batteries.一种用于高性能锂离子和钠离子电池阳极的硅/二氧化硅-有序介孔碳纳米复合材料的制备
Chemistry. 2018 Apr 3;24(19):4841-4848. doi: 10.1002/chem.201704780. Epub 2018 Jan 17.

引用本文的文献

1
Printed High-Entropy Prussian Blue Analogs for Advanced Non-Volatile Memristive Devices.用于先进非易失性忆阻器件的印刷高熵普鲁士蓝类似物
Adv Mater. 2025 Feb;37(8):e2410060. doi: 10.1002/adma.202410060. Epub 2024 Nov 20.
2
Multilevel Optical Storage, Dynamic Light Modulation, and Polarization Control in Filamented Memristor System.丝状忆阻器系统中的多级光存储、动态光调制和偏振控制
Adv Mater. 2025 Jan;37(3):e2411186. doi: 10.1002/adma.202411186. Epub 2024 Nov 20.
3
Evidence of Biorealistic Synaptic Behavior in Diffusive Li-based Two-terminal Resistive Switching Devices.

本文引用的文献

1
Direct Evidence of Lithium Ion Migration in Resistive Switching of Lithium Cobalt Oxide Nanobatteries.锂离子在锂钴氧化物纳米电池电阻开关中迁移的直接证据。
Small. 2018 Jun;14(24):e1801038. doi: 10.1002/smll.201801038. Epub 2018 May 17.
2
Sparse coding with memristor networks.基于忆阻器网络的稀疏编码
Nat Nanotechnol. 2017 Aug;12(8):784-789. doi: 10.1038/nnano.2017.83. Epub 2017 May 22.
3
Face classification using electronic synapses.基于电子突触的人脸分类。
基于扩散 Li 的双端阻变器件中具有生物逼真的突触行为的证据。
Sci Rep. 2020 May 26;10(1):8711. doi: 10.1038/s41598-020-65237-0.
4
Sputtered LiCoO Cathode Materials for All-solid-state Thin-film Lithium Microbatteries.用于全固态薄膜锂微型电池的溅射锂钴氧化物阴极材料。
Materials (Basel). 2019 Aug 22;12(17):2687. doi: 10.3390/ma12172687.
Nat Commun. 2017 May 12;8:15199. doi: 10.1038/ncomms15199.
4
Li-Ion Synaptic Transistor for Low Power Analog Computing.锂离子突触晶体管用于低功耗模拟计算。
Adv Mater. 2017 Jan;29(4). doi: 10.1002/adma.201604310. Epub 2016 Nov 22.
5
Stochastic phase-change neurons.随机相变神经元。
Nat Nanotechnol. 2016 Aug;11(8):693-9. doi: 10.1038/nnano.2016.70. Epub 2016 May 16.
6
Nanoscale electrochemistry using dielectric thin films as solid electrolytes.介电薄膜作为固体电解质的纳米尺度电化学。
Nanoscale. 2016 Aug 7;8(29):13828-37. doi: 10.1039/c6nr01383j. Epub 2016 May 6.
7
Atomic Insight into the Lithium Storage and Diffusion Mechanism of SiO2/Al2O3 Electrodes of Lithium Ion Batteries: ReaxFF Reactive Force Field Modeling.锂离子电池SiO₂/Al₂O₃电极锂存储与扩散机制的原子洞察:ReaxFF反应力场建模
J Phys Chem A. 2016 Apr 7;120(13):2114-27. doi: 10.1021/acs.jpca.5b11908. Epub 2016 Mar 25.
8
Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding.基于电阻式存储器交叉开关计算的能量缩放优势及其在稀疏编码中的应用。
Front Neurosci. 2016 Jan 6;9:484. doi: 10.3389/fnins.2015.00484. eCollection 2015.
9
Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits.基于混合CMOS/忆阻器电路的霍普菲尔德网络模数转换器的建模与实验演示
Front Neurosci. 2015 Dec 24;9:488. doi: 10.3389/fnins.2015.00488. eCollection 2015.
10
Training and operation of an integrated neuromorphic network based on metal-oxide memristors.基于金属氧化物忆阻器的集成神经形态网络的训练和操作。
Nature. 2015 May 7;521(7550):61-4. doi: 10.1038/nature14441.