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2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)最新文献

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Higher precision rotational manipulation of C. elegans by microchannel 微通道对秀丽隐杆线虫的高精度旋转操纵
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117380
M. Nakajima, Y. Igarashi, Masaru Takeuchi, Nagoki Hisamoto, Y. Hasegawa, T. Fukuda
Rotation manipulation of Caenorhabditis elegans (C. elegans) is presented for higher precision by a microchannel. The C. elegans was trapped within a biocompatible gel bead to rotate by a rotational motor. An alginate was used to form the gel bead. Without immobilization treatment by a sodium azide, the C. elegans moves during solidification of alginate. Then, a cavity was happened in the alginate gel bead. On the other hand, C. elegans was trapped without any cavity after immobilization treatment. The stopping and recovery motions of C. elegans were evaluated through the immobilization treatment experimentally. Finally, the eccentricity of rotational manipulation was evaluated with/without centering by a microchannel. The eccentricity was 35 % higher with the microchannel and high precision rotation was achieved at 0.03 degrees/step of actuator.
采用微通道对秀丽隐杆线虫(秀丽隐杆线虫)进行旋转操纵,提高了其旋转精度。秀丽隐杆线虫被捕获在一个生物相容性凝胶珠中,通过旋转马达旋转。海藻酸盐被用来形成凝胶珠。没有叠氮化钠的固定处理,秀丽隐杆线虫在海藻酸盐凝固过程中移动。然后,藻酸盐凝胶珠内出现空腔。另一方面,固定化处理后秀丽隐杆线虫捕获无空洞。采用固定化处理对秀丽隐杆线虫的停止和恢复运动进行了实验评价。最后,通过微通道对旋转操作的偏心进行了评估。微通道的偏心距提高了35%,并以0.03度/步的速度实现了高精度旋转。
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引用次数: 0
Mixed protein templated fluorescent gold-nanoclusters allow folic acid sensing 混合蛋白模板化荧光金纳米团簇允许叶酸传感
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117340
Nile J. Bunce, R. E. Jimenez, V. I. Petsinger, R. Gupta, S. Karna
Protein templated nanoclusters, specifically gold nanoclusters (AuNCs), have attracted a great deal of attention in the recent years due to their biocompatibility, intense fluorescence, sensing and imaging capabilities. Often, expensive and exotic proteins with limited environmental, chemical, and thermal stabilities have been used. Herein, we present a facile and low cost, synthesis of thermally and environmentally stable, photoactive AuNCs. The protein chosen in this study is chicken egg white (EW), which contains approximately 148 different proteins including ovalbumin, lysosomes, ovotransferrin and tryptophan. The fluorescence emission spectrum of the albumen-templated AuNCs are controllable via pH of the solution. The color tunable EW:AuNC exhibit a high degree of sensitivity to folic acid (FA), offering a sensitive sensor platform for simultaneous sensing and imaging of the vitamin.
蛋白质模板纳米团簇,特别是金纳米团簇(aunc)由于其生物相容性、强荧光、传感和成像能力,近年来引起了人们的广泛关注。通常使用的是环境、化学和热稳定性有限的昂贵的外来蛋白质。在此,我们提出了一种简单,低成本,合成热稳定和环境稳定的光活性aunc的方法。本研究选择的蛋白质是鸡蛋清(EW),它含有大约148种不同的蛋白质,包括卵清蛋白、溶酶体、卵转铁蛋白和色氨酸。蛋白模板AuNCs的荧光发射光谱可通过溶液的pH值来控制。颜色可调的EW:AuNC对叶酸(FA)具有高度的敏感性,为维生素的同时传感和成像提供了灵敏的传感器平台。
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引用次数: 0
On-current tunable carbon nanotube thin-film transistor by SiO2 passivation layer 用SiO2钝化层制备的有电流可调碳纳米管薄膜晶体管
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117473
Zhiqiang Liao, Yubo Gao, Yanyan Deng, Chunhui Du, Shuo Zhang, Q.P. Lin, M. Zhang
A concept of tuning the on-current for p-type carbon nanotube thin film transistors (CNT TFTs) by SiO2 passivation layer has been proposed, which meets the different current density requirement for macroelectronic applications. The adsorbed oxygen molecules shift the fermi level down towards valence band, which decreases the barrier height between CNTs and electrodes for holes, so that an as-made CNT TFT with titanium or gold electrode exhibits dominant p-type conduction behavior although the intrinsic behavior of carbon nanotube (CNT) is bipolar. In order to tune the on-current of the p-type CNT TFTs, annealing process in high temperature and SiO2 passivation layer by Plasma Enhanced Chemical Vapor Deposition are used to desorb and prevent oxygen molecules from adsorbing onto the channel again. The methods for forming passivation layer are industry-compatible. Important factors affecting the tuning performance include the thickness and the length of the channel layer are studied in this paper. Besides, the mechanism of the tuning process is disclosed. We found the on-current tuning effect by SiO2 passivation layer is more significant for CNT TFTs with longer channel length than those with shorter channel length. Moreover, a positive correlation between the tuning efficiency and the thickness of passivation layer is concluded from experiments.
提出了一种利用SiO2钝化层对p型碳纳米管薄膜晶体管(CNT TFTs)导通电流进行调节的方法,以满足宏观电子应用中不同电流密度的要求。被吸附的氧分子将费米能级向下移动到价带,从而降低了碳纳米管和空穴电极之间的势垒高度,因此,尽管碳纳米管(CNT)的固有行为是双极性的,但具有钛或金电极的碳纳米管TFT表现出主要的p型导电行为。为了调整p型碳纳米管tft的通流,采用高温退火工艺和等离子体增强化学气相沉积SiO2钝化层来解吸和防止氧分子再次吸附在通道上。形成钝化层的方法是工业兼容的。本文研究了影响调谐性能的重要因素包括通道层的厚度和长度。此外,还公开了调谐过程的机理。研究发现,对于沟道长度较长的碳纳米管tft, SiO2钝化层的导通调谐效应比沟道长度较短的碳纳米管tft更为显著。实验结果表明,调谐效率与钝化层厚度呈正相关。
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引用次数: 0
Noise modeling of nanomechanical communication systems 纳米机械通信系统的噪声建模
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117477
Ahmed O. Nasif, M. Mahfuz, Jagadeep Thota
In a recent paper [2], we introduced a framework for performing nanomechanical communication, where nanomechanical systems can communicate using mechanical movements to encode and transfer information between a transmitter (TX) and a receiver (RX). The framework considered in [2] was mainly focused on the deterministic model, which is the noise-free case. It was shown that the encoding of movements or motions is key to the transfer of information. In this paper, we address how noise affects such a communication system. We introduce two modes of NMC: synchronous versus asynchronous. We show that synchronous mode can achieve higher transmission rates compared to asynchronous mode. As an example, the symbol error rate expression for a transmitter-receiver pair with 4 degrees of motion is given by analyzing the different motion state transitions.
在最近的一篇论文[2]中,我们介绍了一种用于执行纳米机械通信的框架,其中纳米机械系统可以使用机械运动进行通信,以在发射器(TX)和接收器(RX)之间编码和传输信息。[2]中考虑的框架主要集中在确定性模型,即无噪声情况下。结果表明,运动或动作的编码是信息传递的关键。在本文中,我们讨论了噪声如何影响这样的通信系统。我们介绍两种NMC模式:同步模式和异步模式。我们表明,与异步模式相比,同步模式可以实现更高的传输速率。以4度运动的收发对为例,通过对不同运动状态转换的分析,给出了其误码率表达式。
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引用次数: 1
Active metasurfaces based on phase-change memory material digital metamolecules 基于相变记忆材料数字超分子的有源超表面
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117284
Shane Colbum, A. Zhan, A. Majumdar, S. Deshmukh, E. Pop, J. Myers, J. Frantz
Tunable metasurfaces are a promising candidate for the next generation of spatial light modulators which will require higher refresh rates, smaller pixel sizes, and compact form factors. Phase-change memory materials present a unique platform for nonvolatile reconfigurable metasurfaces which could undergo phase transitions at MHz frequencies if actuated electrically, more than three orders of magnitude higher than refresh rates of existing commercial SLMs. While stable intermediate phases of GeSbTe (GST) exist which can be used for imparting differential phase shifts, the stochasticity of the material properties would limit the robustness of such a phase shifter, whereas the fully crystalline and amorphous states exhibit more consistent behavior. To overcome this, we design GST digital metamolecules comprising constituent meta-atoms which individually are in either the SET or RESET state, but which together form a tunable metamolecule with a set of robust phase shifts. We simulate active metasurface lenses based on these metamolecules, showing successful focusing, and demonstrate nano-patterning of a GST film with isolated nanoposts of material which could be electrically actuated, unlike counterparts which must be optically reconfigured.
可调超表面是下一代空间光调制器的一个有前途的候选者,它将需要更高的刷新率,更小的像素尺寸和紧凑的外形因素。相变存储材料为非易失性可重构超表面提供了一个独特的平台,如果电驱动,它可以在MHz频率下进行相变,比现有商用slm的刷新率高出三个数量级。虽然存在稳定的GeSbTe (GST)中间相,可以用来传递不同的相移,但材料性质的随机性将限制这种相移器的鲁棒性,而完全晶体和非晶态表现出更一致的行为。为了克服这一点,我们设计了由组成元原子组成的GST数字元分子,这些元原子分别处于SET或RESET状态,但它们共同形成具有一组鲁棒相移的可调元分子。我们模拟了基于这些超分子的活性超表面透镜,显示了成功的聚焦,并展示了GST薄膜的纳米图案,该薄膜具有可以电驱动的隔离纳米材料,而不像对应的材料必须进行光学重新配置。
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引用次数: 1
Dissipation in neuromorphic computing: Fundamental bounds for feedforward networks 神经形态计算中的耗散:前馈网络的基本边界
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117441
N. Ganesh, N. Anderson
We present the fundamental lower bound on dissipation in feedforward neural networks associated with the combined cost of the training and testing phases. Finite state automata descriptions of output generation and the weight updates during training, are used to derive the corresponding lower bounds in a physically grounded manner. The results are illustrated using a simple perceptron learning the AND classification task. The effects of the learning rate parameter and input probability distribution on the cost of dissipation are studied. Derivation of neural network learning algorithms that minimize the total dissipation cost of training are explored.
我们给出了前馈神经网络中与训练阶段和测试阶段的综合代价相关的耗散的基本下界。在训练过程中,使用输出生成的有限状态自动机描述和权重更新,以物理接地的方式导出相应的下界。使用一个简单的感知器学习AND分类任务来说明结果。研究了学习率参数和输入概率分布对耗散代价的影响。探讨了最小化训练总耗散代价的神经网络学习算法的推导。
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引用次数: 4
Investigation of contact resistance of TiN-TiN contacts for nanoswitches 纳米开关用TiN-TiN触点的接触电阻研究
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117374
Changho Oh, M. D. de Boer
Nano-electromechanical (NEM) are of interest to address the static and/or dynamic power loss challenges [1]-[4] in digital logic applications. Such mechanical switches prevent any leakage current from forming an air gap that separates the electrical contacts when the device is in the OFF state. The subthreshold swing can also be effectively reduced to less than 1 mV/decade [5], which can further reduce the power consumption. NEM switches can potentially operate at ∼1 mV and will consume up to ∼106 times less power than MOSFETs. Therefore, a fundamental understanding of NEM switches in terms of operation, reliability, and integration in IC applications is necessary for achieving ultra-low power computing.
纳米机电(NEM)是解决数字逻辑应用中的静态和/或动态功率损耗挑战的兴趣[1]-[4]。当设备处于OFF状态时,这种机械开关防止任何泄漏电流形成分离电触点的气隙。亚阈值摆幅也可以有效地降低到1 mV/decade以下[5],从而进一步降低功耗。NEM开关可以潜在地工作在~ 1 mV,并且消耗的功率比mosfet低至~ 106倍。因此,对NEM开关在IC应用中的操作、可靠性和集成方面的基本理解对于实现超低功耗计算是必要的。
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引用次数: 0
Improving the immunity of SET/MOS hybrid A/D converters using Boltzmann machine networks 利用玻尔兹曼网络提高SET/MOS混合A/D转换器的抗扰度
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117259
Zihan Zhang, Chunhong Chen
Single-electron-transistor (SET)/MOS hybrid architectures greatly simplify the design of traditional A/D converters, but are quite unreliable due to random background charges. We propose a method of implementing Boltzmann machine networks on hybrid ADCs for the improved immunity against background charges. The self-regulation with Boltzmann machines enables the digital outputs of ADC to converge to a stable state when a simulated annealing process is applied. Simulation results with a 3-bit ADC are provided to show the effectiveness of the proposed structure. A possible structure for the higher resolution of ADCs is also presented.
单电子-晶体管(SET)/MOS混合架构极大地简化了传统A/D转换器的设计,但由于随机背景电荷的影响,其设计非常不可靠。我们提出了一种在混合adc上实现玻尔兹曼机器网络的方法,以提高对背景电荷的免疫力。玻尔兹曼机的自调节使ADC的数字输出在模拟退火过程中收敛到稳定状态。最后给出了一个3位ADC的仿真结果,验证了该结构的有效性。本文还提出了一种可能实现高分辨率adc的结构。
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引用次数: 1
Analysis of Brownian particle considering nonrigidity of matter — A Langevin equation approach 考虑物质非刚性的布朗粒子分析——一种朗之万方程方法
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117256
S. Shringi, N. N. Sharma
Brownian motion had been a topic of interest since the last two centuries and researchers have investigated the motion considering size, environment and mass. Few attempts considering the non-rigidity had been published to establish correlation between variance and nanoparticle parameter like size, mass and non-rigidity (stiffness) [1] [2]. In continuation, the present work investigates the significance of non-rigidity (stiffness) on variance in motion of nanoparticle. This work is important to conclude on whether soft nanoparticle moves more or less vis-à-vis a hard nanoparticle. We developed a model using correlation technique applied on Langevin equation for Brownian motion of nanoparticle and based on the simulation results, it was found that the motion is significantly governed by the stiffness of nanoparticles.
布朗运动在过去两个世纪以来一直是一个有趣的话题,研究人员研究了考虑大小、环境和质量的运动。考虑到非刚性,很少有人尝试建立方差与纳米颗粒参数(如尺寸、质量和非刚性(刚度)[1]b[2])之间的相关性。在此基础上,本文探讨了非刚性(刚度)对纳米颗粒运动变化的影响。这项工作对于得出软纳米颗粒相对于-à-vis硬纳米颗粒是否移动更多或更少的结论是重要的。利用Langevin方程建立了纳米粒子布朗运动的相关模型,并通过仿真结果发现,纳米粒子的运动受其刚度的显著控制。
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引用次数: 2
Versatile upconversion surfaces evaluation platform for bio-nano surface selection for nervous system 用于神经系统生物纳米表面选择的多功能上转换表面评估平台
Pub Date : 2017-07-01 DOI: 10.1109/NANO.2017.8117391
L. Fu, B. Shi, D. Jin, R. Chung
Neurodegenerative disorder diseases have been perplexing physicians and scientists for many years. There is considerable interest in developing diagnostic nanotools for diagnosis and therapeutic treatment strategies for the neuron diseases. However, a key challenge remains in selection of suitable surface to overcome the nano-bio interface issue as many nanoparticles indicate instability when administered into biological environments and show serious cytotoxicity to sensitive central nervous system. We have developed new-generation upconversion nanoparticles (UCNPs) which represent a promising model nanoparticle for suitable evaluation due to its superior properties in bio photonics.
神经退行性疾病多年来一直困扰着医生和科学家。开发诊断纳米工具用于神经元疾病的诊断和治疗策略具有相当大的兴趣。然而,一个关键的挑战仍然是选择合适的表面来克服纳米-生物界面问题,因为许多纳米颗粒在给予生物环境时表现出不稳定性,并且对敏感的中枢神经系统表现出严重的细胞毒性。我们开发了新一代上转换纳米粒子(UCNPs),由于其在生物光子学中的优越性能,它代表了一种有前途的模型纳米粒子。
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引用次数: 0
期刊
2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)
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