2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)最新文献_第10页

An approach to detect and mitigate neural disorders using swarm of bionanomachines 一种利用生物反常机器群检测和减轻神经疾病的方法

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117463

Ahmed O. Nasif, M. Mahfuz

{"title":"An approach to detect and mitigate neural disorders using swarm of bionanomachines","authors":"Ahmed O. Nasif, M. Mahfuz","doi":"10.1109/NANO.2017.8117463","DOIUrl":"https://doi.org/10.1109/NANO.2017.8117463","url":null,"abstract":"In this paper, we focus on the possibilities of using bionanomachines to treat neuronal (brain) disorders. Neuronal networks in the brain are an excellent example of nanonetworks that control all major functions of a human body, thereby offering a sound physical and mental health of a human being. In the brain, approximately one hundred billion neurons are connected three-dimensionally with other neurons in order to form immensely complex neuronal nanonetworks. Therefore, there are trillions of connections that exist among neurons in the brain. When neurons get damaged due to disease or accidents, they affect specific human body functions. It has been found that bionanomachines could interact with neurons in brain nanonetworks and thus help treat brain disorders. This paper describes an approach to detect and remedy neural disorders using bionanomachines. We propose the deployment of a swarm of bionanomachines in the brain that can collectively detect synaptic dysfunctions and mitigate it by injecting excitatory therein. Combinatorial enumeration is explored as a potential tool that can allow us to characterize the requirements on detection capabilities of a single nanobiomachine, as well as of the swarm.","PeriodicalId":292399,"journal":{"name":"2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227215","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

Functionality modification of SWCNT for improved methanol oxidation reaction 纳米碳纳米管官能团改性改善甲醇氧化反应

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117325

Kota V. M. K. Kireeti, N. Jha

引用次数: 0

An area-efficient ternary full adder using hybrid SET-MOS technology 采用混合SET-MOS技术的面积高效三元全加法器

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117301

Lin Li, Zihan Zhang, Chunhong Chen

引用次数: 3

Interband and intraband optical transitions in mercury chalcogenide colloidal quantum dots 硫系汞胶体量子点的带间和带内光学跃迁

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117308

Xin Tang, Guangfu Wu, K. Lai

引用次数: 2

Silicon nanowire based thermoelectric device for energy harvesting 基于硅纳米线的能量收集热电装置

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117487

Kihyun Kim, C. Baek

引用次数: 0

Exact inversion of discrete Preisach model for compensating complex hysteresis in AFM based nanomanipulator 基于AFM的纳米机械臂复杂滞后补偿的离散Preisach模型精确反演

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117383

Zhiyong Sun, N. Xi, Yu Cheng, Sheng Bi, Congjian Li, Liangliang Chen

{"title":"Exact inversion of discrete Preisach model for compensating complex hysteresis in AFM based nanomanipulator","authors":"Zhiyong Sun, N. Xi, Yu Cheng, Sheng Bi, Congjian Li, Liangliang Chen","doi":"10.1109/NANO.2017.8117383","DOIUrl":"https://doi.org/10.1109/NANO.2017.8117383","url":null,"abstract":"Atomic Force microscopy (AFM) is a powerful technology for observing and developing the micro/nano world, which has been bringing tremendous revolution opportunities to various fields. An AFM's maneuverability can be enhanced via modification into a nanorobotic system with its scanning probe working as the end-effector. The probe's spatial precision can easily reach to nanometer level, which is commonly actuated by smart materials, typically the piezoceramics. However, instinctive hysteretic characteristics ubiquitously exist in smart material actuators, which degrade their controllable positioning accuracy, especially for the open-loop cases. As common phenomena, input-output hysteretic relations of integrated AFM systems are generally complicated, caused by actuators' specific characteristics. Since the AFM based nanomanipulation requires slow operations to prevent damage from samples and the sharp probe itself, commonly only hysteresis at low frequency (typically less than 10Hz) need to be reduced. To precisely represent and further reduce generalized hysteretic effects at low frequency, this paper proposes the equivalent representation of the classical Preisach model with analytical inversion. The contributions of this paper are: it is the first time that the exact inversion is established for the Preisach model with generalized discrete representation; furthermore, while maintaining modeling accuracy, the new discrete Preisach model significantly reduces model complexity compared to the traditional Preisach model. Numerical verification was conducted to demonstrate the effectiveness of the proposed discrete Preisach model and its analytical inversion.","PeriodicalId":292399,"journal":{"name":"2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121902022","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: 3

The pulse-activated piezo-NEMS shuttle relay 脉冲激活压电nems穿梭继电器

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117382

J. Best, G. Piazza

引用次数: 0

Recombination dynamics in quantum-dot infrared photodetectors with spherical and lens-shaped potential 具有球面和透镜形势的量子点红外探测器的复合动力学

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117429

S. Rani, S. Hussain, B. C. Mech, J. Kumar

引用次数: 0

Amplified spontaneous emission in nanoimprinted perovskite nanograting metasurface 纳米印迹钙钛矿纳米光栅超表面的放大自发发射

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117424

Abouzar Gharajeh, Honglei Wang, Zhitong Li, Jiyoung Moon, R. Haroldson, Balasubramaniam Balachandran, Deyin Zhao, Shih-Chia Liu, Weidong Zhou, S. Makarov, A. Zakhidov, Walter Hu, Q. Gu

引用次数: 0

Impact ionization in a graphene/SiO2/Si structure under high-field pulsed drive 高场脉冲驱动下石墨烯/SiO2/Si结构的冲击电离

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117315

Siyang Liu, H. Kim

引用次数: 0