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Smart Ultrasound-Responsive Nanoparticles for Drug Delivery. 用于药物传递的智能超声反应纳米颗粒。
IF 2.7
IEEE Nanotechnology Magazine Pub Date : 2026-04-01 Epub Date: 2026-04-03 DOI: 10.1109/mnano.2026.3659981
Yanqing Zhong, Geoffrey P Luke
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引用次数: 0
Guest Editorial [Guest Editorial] 特邀社论 [特邀社论］
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mnano.2023.3319189
Ching-Ray Chang, Chao-Sung Lai
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引用次数: 0
2023 Index IEEE Nanotechnology Magazine Vol. 17 2023 索引 IEEE 纳米技术杂志第 17 卷
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mnano.2023.3335690
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引用次数: 0
The MENED Program at Nanotechnology Council [Column] 纳米技术理事会的 MENED 计划 [专栏］
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mnano.2023.3316876
M. B. Lodi, R. Sliz, Kremena Makasheva
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引用次数: 0
President's Farewell Message [President's Farewell Message] 总统告别辞 [总统告别辞］
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mnano.2023.3316868
Fabrizio Lombardi
{"title":"President's Farewell Message [President's Farewell Message]","authors":"Fabrizio Lombardi","doi":"10.1109/mnano.2023.3316868","DOIUrl":"https://doi.org/10.1109/mnano.2023.3316868","url":null,"abstract":"","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":" 45","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Editors’ Desk [Editor's Desk] 编辑台 [编辑台]
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mnano.2023.3319188
Bing J. Sheu, Shao-Ku Kao
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引用次数: 0
Pulse-Programmed Short-Term Plasticity and Long-Term Potentiation of MoS2 Memristive Devices 二硫化钼记忆器件的脉冲程序化短期可塑性和长期增强
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-10-01 DOI: 10.1109/MNANO.2023.3297105
S. Ki, Mingze Chen, Xiaogan Liang
{"title":"Pulse-Programmed Short-Term Plasticity and Long-Term Potentiation of MoS2 Memristive Devices","authors":"S. Ki, Mingze Chen, Xiaogan Liang","doi":"10.1109/MNANO.2023.3297105","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3297105","url":null,"abstract":"Short-term plasticity (STP) and long-term potentiation (LTP) properties of neural synapses are crucial for developing complex neuromorphic systems and functions. In this work, we fabricated two-terminal memristors with multi-layer MoS2 channels and investigated pulse-programmed short-term and long-term synaptic responses. This work indicates that MoS2 memristors exhibit different magnitudes of STP and LTP effects under different pulse programming settings. Specifically, we utilized the paired-pulse facilitation (PPF) function for fitting experimentally measured relaxation curves of MoS2 memristors to quantitatively evaluate the relative dominance of STP and LTP effects. Such analytic results show that the absolute magnitudes of both STP and LTP effects in a memristor increase with increasing pulse frequency, pulse voltage (or amplitude), pulse duty cycle, and a total number of applied pulses, whereas the relative dominance levels of these two effects are typically not in a simple monotonous relationship with these pulse parameters. This indicates that the programming pulse parameters profoundly affect pulse-field-mediated charge trapping and S-vacancy migration processes which are responsible for the observed STP and LTP effects, respectively. This work provides a useful guideline for activating STP and LTP effects in emerging memristive devices based on 2D layered semiconductors, which could be deployed for making synaptic nodes in hardware-based artificial neural networks or neuromorphic sensory devices capable of sensing spatiotemporal events.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"24-29"},"PeriodicalIF":1.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46593182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tap. Connect. Network. Share. 水龙头。连接。网络。份额。
IEEE Nanotechnology Magazine Pub Date : 2023-10-01 DOI: 10.1109/mnano.2023.3318841
{"title":"Tap. Connect. Network. Share.","authors":"","doi":"10.1109/mnano.2023.3318841","DOIUrl":"https://doi.org/10.1109/mnano.2023.3318841","url":null,"abstract":"","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135459569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards Energy-Efficient Computing Hardware Based on Memristive Nanodevices 基于忆阻纳米器件的节能计算硬件
IF 1.6
IEEE Nanotechnology Magazine Pub Date : 2023-10-01 DOI: 10.1109/MNANO.2023.3297106
Y. Huang, Vignesh Ravichandran, Wuyu Zhao, Q. Xia
{"title":"Towards Energy-Efficient Computing Hardware Based on Memristive Nanodevices","authors":"Y. Huang, Vignesh Ravichandran, Wuyu Zhao, Q. Xia","doi":"10.1109/MNANO.2023.3297106","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3297106","url":null,"abstract":"Computing hardware is one of the crucial drivers of artificial intelligence (AI) that impacts our daily lives. However, despite the significant improvements made in recent decades, the energy consumption of computing hardware that powers AI, especially deep neural networks, remains considerably higher than that of human brains. Hardware innovations based on emerging nanodevices like memristors offer potential solutions to energy-efficient computing systems. This review discusses the challenges associated with developing energy-efficient computing hardware based on memristive nanodevices and summarizes recent progress in memristive devices, crossbar arrays, systems, and algorithms, aiming at addressing these issues from a bottom-up approach. Potential research directions are proposed to further improve future computing hardware's energy efficiency.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"30-38"},"PeriodicalIF":1.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43997568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Editors’ Desk [The Editors' Desk] 编辑台〔编辑台〕
IEEE Nanotechnology Magazine Pub Date : 2023-10-01 DOI: 10.1109/mnano.2023.3300069
Bing Sheu, Shao-Ku Kao
{"title":"The Editors’ Desk [The Editors' Desk]","authors":"Bing Sheu, Shao-Ku Kao","doi":"10.1109/mnano.2023.3300069","DOIUrl":"https://doi.org/10.1109/mnano.2023.3300069","url":null,"abstract":"This Special Issue includes five outstanding papers. The first three papers are contributed by 2023 IEEE Fellows who were elected via the Nanotechnology Council. The IEEE Fellow citation for Prof. Xiaoning Jiang is “for contributions to ultrasound transducers for advanced sensing, imaging, and therapy.” The IEEE Fellow citation for Prof. Qiangfei Xia is “for contributions to resistive memory arrays and devices for in memory computing.” The IEEE Fellow citation for Prof. Andras Kis is “for contributions to the development of 2D materials and electronic devices.”","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135452012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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