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Nickel-Iron Alloy Nanoparticle Characteristics Pre- and Post-Reaction With Orange G 镍铁合金纳米颗粒特性与橙G反应前后
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-12-02 DOI: 10.1109/OJNANO.2020.3042136
Shelby L. Foster;Prashant Acharya;Mojtaba Abolhassani;Skylar Watson;Sheldon Shinn;Lauren F. Greenlee
Bimetallic nanoparticles comprised of iron and nickel were synthesized, characterized, and evaluated to optimize the ideal metal ratio for azo dye removal from water systems. Results show that changing the molar ratio of nickel to iron caused different removal rates, as well as the extent of overall elimination of azo dye from water. Lower molar ratios, from Ni1Fe10 to Ni2.5Fe10, exhibited a higher removal efficiency of 80-99%. Higher concentrations of Ni in the catalyst, from Ni3Fe10 to Ni5Fe10, resulted in 70-90% removal. The lower molar ratios of Ni exhibited a consistent removal rate of 0.11 g/L/min, while the higher molar ratios of Ni displayed varying removal rates of 0.1-0.05 g/L/min. A second order kinetic model was fit to the first twenty minutes of the reaction for all nickel to iron compositions, where there is a decrease in rate constant with an increase in molar ratio. During the last forty minutes of reaction, azo dye removal fit a zero order kinetic model. All as-synthesized nanoparticle samples were found to be structurally disordered based on the lack of distinct peaks in XRD spectra. Post-reaction samples were found to have Fe2O3 and FeOOH cubic peaks.
合成了由铁和镍组成的双金属纳米颗粒,对其进行了表征和评价,以优化水中偶氮染料去除的理想金属比例。结果表明,改变镍与铁的摩尔比对水中偶氮染料的去除率和整体去除程度有不同的影响。从Ni1Fe10到Ni2.5Fe10的摩尔比较低,去除率为80-99%。从Ni3Fe10到Ni5Fe10,催化剂中Ni的浓度越高,去除率达到70-90%。低摩尔比镍的去除率为0.11 g/L/min,高摩尔比镍的去除率为0.1 ~ 0.05 g/L/min。二级动力学模型适用于所有镍铁化合物反应的前20分钟,反应速率常数随摩尔比的增加而减小。在反应的最后40分钟,偶氮染料的去除符合零级动力学模型。所有合成的纳米颗粒样品都是无序的,因为在XRD光谱中缺乏明显的峰。反应后的样品具有Fe2O3和FeOOH的立方峰。
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引用次数: 2
Synchronization in Quantum-Dot Cellular Automata Circuits and Systems 量子点元胞自动机电路与系统中的同步
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-11-30 DOI: 10.1109/OJNANO.2020.3041399
Orestis Liolis;Vassilios A. Mardiris;Georgios Ch. Sirakoulis;Ioannis G. Karafyllidis
Signal synchronization of large scale Quantum-dot Cellular Automata (QCA) circuits is one of the most complex QCA design challenges. More specifically, the QCA circuits synchronization problem, especially in the large circuits, is characterized as rather complex due to technology constraints. In this paper, by extensively analyzing the most important properties of the signal synchronization problem in QCA circuits, we propose an efficient design methodology to tackle the problem, based on the well-known from computer science, Firing Squad Synchronization Problem (FSSP). Comparing FSSP with the QCA circuits synchronization problem many similarities can be found. Among the numerous FSSP's algorithmic solutions in literature, the Mazoyer algorithm has proven to be the most efficient one. In this paper, a novel design and implementation in QCA technology of this algorithm is presented. Moreover, by the appropriate modification of the Mazoyer algorithm, we are able to propose a generic synchronization design methodology for QCA circuits and systems. This method is enhanced by a novel freezing technique, that makes it applicable to any QCA circuit and system as manifested by our corresponding simulation results. The proposed synchronization methodology is a universal design tool, that can be applied to exiting designs without increasing the complexity.
大规模量子点元胞自动机(QCA)电路的信号同步是QCA设计中最复杂的挑战之一。更具体地说,由于技术的限制,QCA电路的同步问题,特别是在大型电路中,具有相当复杂的特点。本文通过广泛分析QCA电路中信号同步问题的重要特性,提出了一种有效的设计方法来解决这个问题,该方法基于计算机科学中众所周知的射击队同步问题(FSSP)。比较FSSP和QCA电路的同步问题可以发现许多相似之处。在文献中众多的FSSP算法解中,Mazoyer算法被证明是最有效的一种。本文提出了一种新的QCA算法的设计和实现方法。此外,通过对Mazoyer算法的适当修改,我们能够提出QCA电路和系统的通用同步设计方法。该方法采用了一种新颖的冻结技术,可以适用于任何QCA电路和系统,仿真结果表明了这一点。所提出的同步方法是一种通用的设计工具,可以在不增加复杂性的情况下应用于现有的设计。
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引用次数: 2
Compact Graphene-Based Spiking Neural Network With Unsupervised Learning Capabilities 具有无监督学习能力的紧凑石墨烯脉冲神经网络
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-11-27 DOI: 10.1109/OJNANO.2020.3041198
He Wang;Nicoleta Cucu Laurenciu;Yande Jiang;Sorin Dan Cotofana
To fully unleash the potential of graphene-based devices for neuromorphic computing, we propose a graphene synapse and a graphene neuron that form together a basic Spiking Neural Network (SNN) unit, which can potentially be utilized to implement complex SNNs. Specifically, the proposed synapse enables two fundamental synaptic functionalities, i.e., Spike-Timing-Dependent Plasticity (STDP) and Long-Term Plasticity, and both Long-Term Potentiation (LTP) and Long-Term Depression (LTD) can be emulated with the same structure by properly adjusting its bias. The proposed neuron captures the essential Leaky Integrate and Fire spiking neuron behavior with post firing refractory interval. We demonstrate the proper operation of the graphene SNN unit by relying on a mixed simulation approach that embeds the high accuracy of atomistic level simulation of graphene structures conductance within the SPICE framework. Subsequently, we analyze the way graphene synaptic plasticity affects the behavior of a 2-layer SNN example consisting of 6 neurons and demonstrate that LTP significantly increases the number of firing events while LTD is diminishing them, as expected. To assess the plausibility of the graphene SNN reaction to input stimuli we simulate its behavior by means of both SPICE and NEST, a well established SNN simulation framework, and demonstrate that the obtained reactions, characterized in terms of total number of firing events and mean Inter-Spike Interval (ISI) length, are in close agreement, which clearly suggests that the proposed design exhibits a proper behavior. Further, we prove the unsupervised learning capabilities of the proposed design by considering a 2-layer SNN consisting of 30 neurons meant to recognize the characters “A,” “E,” “I,” “O,” and “U,” represented with a 5 by 5 black and white pixel matrix. The SPICE simulation results indicate that the graphene SNN is able to perform unsupervised character recognition associated learning and that its recognition ability is robust to input character variations. Finally, we note that our proposal results in a small real-estate footprint (max. 30 nm$^2$ are required by one graphene-based device) and operates at 200 mV supply voltage, which suggest its suitability for the design of large-scale energy-efficient computing systems.
为了充分释放基于石墨烯的神经形态计算设备的潜力,我们提出了一个石墨烯突触和一个石墨烯神经元,它们共同形成一个基本的峰值神经网络(SNN)单元,可以潜在地用于实现复杂的SNN。具体而言,该突触实现了两种基本的突触功能,即spike - time - dependent Plasticity (STDP)和Long-Term Plasticity,并且通过适当调整其偏倚,可以用相同的结构模拟Long-Term Potentiation (LTP)和Long-Term Depression (LTD)。该神经元捕获了基本的泄漏积分和放电后不应间隔的脉冲神经元行为。我们演示了石墨烯SNN单元的正确操作,依靠混合模拟方法,该方法在SPICE框架内嵌入了石墨烯结构电导率的高精度原子级模拟。随后,我们分析了石墨烯突触可塑性如何影响由6个神经元组成的2层SNN示例的行为,并证明LTP显着增加了放电事件的数量,而LTD则减少了它们,正如预期的那样。为了评估石墨烯SNN反应对输入刺激的合理性,我们通过SPICE和NEST(一个完善的SNN模拟框架)来模拟其行为,并证明所获得的反应,以发射事件总数和平均峰间间隔(ISI)长度为特征,非常一致,这清楚地表明所提出的设计表现出适当的行为。此外,我们通过考虑由30个神经元组成的2层SNN来识别字符“a”,“E”,“I”,“O”和“U”,用5 × 5的黑白像素矩阵表示,证明了所提出设计的无监督学习能力。SPICE仿真结果表明,石墨烯SNN能够进行无监督字符识别关联学习,并且其识别能力对输入字符变化具有鲁棒性。最后,我们注意到,我们的建议导致了一个小的房地产占用(最大。一个基于石墨烯的器件需要30 nm$^2$),并且在200 mV供电电压下工作,这表明它适合设计大规模节能计算系统。
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引用次数: 2
Lightweight Configurable Ring Oscillator PUF Based on RRAM/CMOS Hybrid Circuits 基于RRAM/CMOS混合电路的轻量级可配置环形振荡器PUF
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-11-26 DOI: 10.1109/OJNANO.2020.3040787
Yijun Cui;Chenghua Wang;Weiqiang Liu;Chongyan Gu;Máire O’Neill;Fabrizio Lombardi
Physical unclonable function (PUF) is a lightweight security primitive for energy constrained digital systems. As an enhanced design of conventional ring oscillator (RO) PUFs, configurable ring oscillator (CRO) PUFs improve the uniqueness and reliability compared with the conventional RO PUF designs. In typical CRO PUF designs, multiplexers (MUXs) are utilized as configurable components. In this paper, a hybrid nano-scale CRO (hn-CRO) PUF is proposed. The configurable components of the proposed hnCRO PUF are implemented by RRAMs. The delay elements are based on CMOS inverters. Compared with traditional CRO PUF designs, the proposed hn-CRO PUF is cost-efficient in terms of circuit density and gate per challenge response pair (CRP) bit. To validate the proposed hn-CRO PUF, the Monte Carlo simulation results of a compact RRAM model under UMC 65 nm technology are presented. The results show that the proposed hn-CRO PUF has a good uniqueness and low hardware consumption compared with the previous works.
物理不可克隆函数(PUF)是一种用于能量受限数字系统的轻量级安全原语。可配置环振(CRO) PUF是传统环振PUF的改进设计,与传统环振PUF设计相比,可配置环振PUF具有唯一性和可靠性。在典型的CRO PUF设计中,多路复用器(MUXs)被用作可配置组件。本文提出了一种混合纳米级CRO (hn-CRO) PUF。提出的hnCRO PUF的可配置组件由rram实现。延迟元件基于CMOS逆变器。与传统的CRO PUF设计相比,所提出的hn-CRO PUF在电路密度和每个挑战响应对(CRP)位的门数方面具有成本效益。为了验证所提出的n- cro PUF,给出了UMC 65nm技术下的紧凑型RRAM模型的蒙特卡罗仿真结果。结果表明,与以往的研究成果相比,所提出的hn-CRO PUF具有良好的唯一性和较低的硬件消耗。
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引用次数: 6
Graphene Induced Diamond Nucleation on Tungsten 石墨烯在钨上诱导金刚石成核
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-11-13 DOI: 10.1109/OJNANO.2020.3038055
Yonhua Tzeng;Chih-Chun Chang
Chemical vapor deposition (CVD) of a diamond film on a non-diamond substrate begins with the insertion of diamond seeds or the formation of diamond nuclei on the substrate. For the deposition of a smooth, large-area and pin-hole free diamond film that adheres well to the substrate, diamond seeds or nuclei need to be of high density, uniformly distributed and adhere well to the substrate. Diamond seeding is not a diamond nucleation process. Bias enhanced nucleation (BEN) is the most effective means of heterogeneous nucleation of diamond for CVD diamond. It is based on a negative biasing voltage between the substrate and the diamond CVD plasma to accelerate positive ions from the plasma to bombard the substrate. Both direct diamond seeding and BEN have technical barriers in practical applications. New diamond nucleation techniques are desired. This paper reports novel heterogenous diamond nucleation along edge line of graphene on tungsten leading to the deposition of continuous diamond films. Based on experimental observation, a diamond nucleation mechanism assisted by sp3 C-W bonds at graphene edge is proposed. It is wished that scientists will become interested in revealing the precise diamond nucleation mechanism. With that, further optimization of this invention may lead to a new, complementary diamond nucleation process for practical deposition of diamond films.
化学气相沉积(CVD)在非金刚石衬底上的金刚石膜开始于金刚石种子的插入或衬底上金刚石核的形成。为了沉积光滑、大面积、无针孔、粘附良好的金刚石膜,金刚石种子或金刚石核需要密度高、分布均匀、粘附良好。钻石播种不是钻石成核的过程。偏置增强成核(BEN)是CVD金刚石非均相成核最有效的方法。它是基于衬底和金刚石CVD等离子体之间的负偏置电压来加速等离子体中的正离子轰击衬底。在实际应用中,直接播种法和人工智能都存在技术障碍。需要新的金刚石成核技术。本文报道了一种新型的沿石墨烯边缘线的非均质金刚石成核,从而导致连续金刚石膜的沉积。在实验观察的基础上,提出了石墨烯边缘sp3碳钨键辅助下的金刚石成核机制。希望科学家们对揭示金刚石成核的精确机制产生兴趣。因此,本发明的进一步优化可能导致一种新的、互补的金刚石成核工艺,用于实际沉积金刚石薄膜。
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引用次数: 4
A CMOS-Based Capacitive Biosensor for Detection of a Breast Cancer MicroRNA Biomarker 一种基于cmos的电容式生物传感器用于检测乳腺癌微rna生物标志物
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-11-03 DOI: 10.1109/OJNANO.2020.3035349
YU-Husan Kuo;YI-Sin Chen;PO-Chiun Huang;Gwo-Bin Lee
Breast cancer ranks among the most common cancers worldwide and can be lethal when not diagnosed early due to the high probability of metastasis. Herein a complementary metal-oxide-semiconductor (CMOS)-based capacitive nano-biosensor was developed to quickly and accurately quantify the concentration of an early-stage breast cancer diagnostic marker, microRNA-195, in blood. The microRNA probe was immobilized on optimized inter-digitated electrodes (IDE), and CMOS-sensing circuits detected the probe-analyte reaction at microRNA-195 concentrations as low as 0.617 fM. This high sensitivity could be due to the monolithically integrated nature of the circuits, for which “parasitic” effects on the capacitive sensors were markedly low. The CMOS-based capacitive nano-sensor may be promising for early diagnosis of breast cancer.
乳腺癌是世界上最常见的癌症之一,由于转移的可能性很大,如果不及早诊断,可能是致命的。本文开发了一种基于互补金属氧化物半导体(CMOS)的电容式纳米生物传感器,用于快速准确地定量血液中早期乳腺癌诊断标志物microRNA-195的浓度。将microRNA探针固定在优化的间指电极(IDE)上,cmos传感电路在低至0.617 fM的microRNA-195浓度下检测探针与分析物的反应。这种高灵敏度可能是由于电路的单片集成特性,因此对电容传感器的“寄生”效应明显低。基于cmos的电容式纳米传感器有望用于乳腺癌的早期诊断。
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引用次数: 4
Exploiting Within-Channel Tunneling in a Nanoscale Tunnel Field-Effect Transistor 利用奈米隧道场效应晶体管的通道内隧穿
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-10-16 DOI: 10.1109/OJNANO.2020.3031633
Shelly Garg;Sneh Saurabh
In this paper, using device simulations, we investigate electrical characteristics of a tunnel field-effect transistor (TFET) in which band-to-band tunneling (BTBT) occurs dominantly within the channel, rather than at source-channel junction. The within-channel BTBT is enabled by sharp band-bending induced by the dual material gate (DMG). The work-functions of two metal gates are chosen, such that the surface potential profile exhibits a distinct step at the DMG interface. Consequently, even under equilibrium condition, a high lateral electric field and an abrupt tunneling junction exist at the DMG interface. When a small gate voltage is applied, the inherent lateral electric field aids in creating an abrupt band alignment and obtaining a small tunneling width. As a result, an excellent average subthreshold swing is obtained in the proposed device. We have also investigated scaling of channel lengths in the proposed device and have demonstrated that within-channel tunneling can be exploited for channel lengths of 40nm and above. Furthermore, low drain threshold voltage and suppressed drain-induced barrier lowering can be obtained in the proposed device. Moreover, in contrast to conventional TFETs, electrical characteristics of the proposed device are less susceptible to source doping variations and shift in gate-edge with respect to the source-channel junction.
在本文中,我们使用器件模拟,研究隧道场效应晶体管(ttfet)的电特性,其中带对带隧道效应(BTBT)主要发生在沟道内,而不是在源-沟道交界处。通道内BTBT是由双材料栅极(DMG)引起的尖锐带弯曲实现的。选择两个金属栅极的工作功能,使得表面电位分布在DMG界面处呈现出明显的阶梯。因此,即使在平衡条件下,在DMG界面处也存在高横向电场和突发性隧穿结。当施加一个小的栅极电压时,固有的横向电场有助于产生一个突然的带对准并获得一个小的隧道宽度。因此,在所提出的器件中获得了良好的平均亚阈值摆幅。我们还研究了拟议器件中通道长度的缩放,并证明了通道内隧道可以用于40nm及以上的通道长度。此外,在该装置中可以获得低漏极阈值电压和抑制漏极诱导势垒降低。此外,与传统的tfet相比,该器件的电特性不太容易受到源掺杂变化的影响,并且相对于源-通道结,栅极边缘的移位。
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引用次数: 3
1320 nm Light Source From Deuterium Treated Silicon 1320nm氘处理硅光源
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-09-18 DOI: 10.1109/OJNANO.2020.3025167
Seref Kalem
We report an efficient room temperature photon source at 1320 nm telecommunication wavelength from nanostructured silicon surface. The activation of this light source was realized by treating the surface of Si wafer by vapor of heavy water (D2O) containing a mixture of hydrofluoric and nitric acids. Treatment without deuterium generates an intense light emission band at the band-edge of Si, while the deuterium treatment alone creates a strong emission band at 1320 nm in the near infrared. It was found that the deuterium is actively involved in the formation of a nanostructured Si surface as evidenced from relative strength of the Si-O vibrational modes and presence of N-D bondings. The origin of this photon source was discussed in terms of oxygen related defect states and dislocations. The Si surface treated by Deuterium containing mixture exhibits a strong rectifying electrical activity as it is demonstrated by Schottky diodes fabricated on these wafers. Being compatible with mature silicon circuitry, the source may find applications in photonics and optoelectronics.
本文报道了一种基于纳米结构硅表面的1320nm通信波长的高效室温光子源。该光源的活化是通过用含有氢氟酸和硝酸混合物的重水(D2O)蒸气处理硅片表面实现的。不含氘的处理在Si的带边处产生一个强发射带,而单独含氘处理在近红外1320nm处产生一个强发射带。从Si- o振动模式的相对强度和N-D键的存在可以看出,氘积极参与了纳米结构Si表面的形成。从氧相关缺陷态和位错的角度讨论了光子源的起源。经含氘混合物处理的硅表面表现出很强的整流电活性,在这些晶圆上制造的肖特基二极管证明了这一点。该源与成熟的硅电路兼容,可以在光子学和光电子学中找到应用。
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引用次数: 0
Robust Power Textile Based on Triboelectrification for Self-Powered Smart Textiles 基于摩擦电气化的自供电智能纺织品鲁棒动力纺织品
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-09-18 DOI: 10.1109/OJNANO.2020.3024751
Zhaoyang Li;Junwen Zhong;Yunlong Zi
Harvesting energy from human body motions is an appropriate option as an assistant or even subversive way for powering the booming wearable electronics, in which smart textiles are important components. Here, we fabricate a robust power textile with working mechanism of triboelectrification effect and electrostatic induction effect by simply integrating the normal textiles and polydimethylsiloxane (PDMS)/conductive yarns electrodes. Maximum peak loading voltage and current reaching 230 V and 11.6 μA are obtained by rubbing our power textile, and this alternating and irregular electricity can be accumulated in a capacitor or directly light up 20 blue LEDs. The recovered energy generation ability of the power textile after washing successfully demonstrate its robustness, showing the potential application in powering the electronics in smart textiles.
从人体运动中获取能量是为蓬勃发展的可穿戴电子设备供电的一个合适的选择,甚至是颠覆性的方式,智能纺织品是其中的重要组成部分。本研究通过将普通纺织品与聚二甲基硅氧烷(PDMS)/导电纱线电极简单集成,制备了一种具有摩擦起电效应和静电感应效应工作机理的强力纺织品。通过摩擦我们的动力纺织品,可以获得最大峰值负载电压和电流,达到230 V和11.6 μA,这种交流和不规则的电力可以在电容器中积累或直接点亮20个蓝色led。洗涤后的能量回收能力成功地证明了其稳健性,显示了在智能纺织品中为电子设备供电的潜在应用。
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引用次数: 2
Design of Ternary Logic and Arithmetic Circuits Using GNRFET 利用gnfet设计三元逻辑及算术电路
IF 1.7 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2020-09-01 DOI: 10.1109/OJNANO.2020.3020567
Zarin Tasnim Sandhie;Farid Uddin Ahmed;Masud H. Chowdhury
Multiple valued logic (MVL) can represent an exponentially higher number of data/information compared to the binary logic for the same number of logic bits. Compared to the conventional and other emerging device technologies, Graphene Nano Ribbon Field Effect Transistor (GNRFET) appears to be very promising for designing MVL logic gates and arithmetic circuits due to some exceptional electrical properties of the GNRFET, e.g., the ability to control the threshold voltage by changing the width of the GNR. Variation of the threshold voltage is one of the prescribed techniques to achieve multiple voltage levels to implement the MVL circuit. This paper introduces a design approach for ternary logic gates and circuits using MOS-type GNRFET. The designs of basic ternary logic gates like inverters, NAND, NOR, and ternary arithmetic circuits like the ternary decoder, 3:1 multiplexer, and ternary half-adder are demonstrated using GNRFET. A comparative analysis of the GNRFET based ternary logic gates and circuits and those based on the conventional CMOS and CNTFET technologies is performed using delay, total power, and power-delay-product (PDP) as the metrics. The simulation and analysis are performed using the H-SPICE tool with a GNRFET model available on the Nanohub website.
对于相同数量的逻辑位,多值逻辑(MVL)与二进制逻辑相比可以表示指数级高的数据/信息数量。与传统和其他新兴器件技术相比,石墨烯纳米带场效应晶体管(GNRFET)由于其特殊的电学特性,例如通过改变GNR的宽度来控制阈值电压的能力,在设计MVL逻辑门和算术电路方面显得非常有前途。阈值电压的变化是实现MVL电路的多个电压电平的规定技术之一。本文介绍了一种利用mos型GNRFET设计三元逻辑门及电路的方法。使用GNRFET演示了基本三元逻辑门的设计,如逆变器,NAND, NOR和三元算术电路,如三元解码器,3:1多路复用器和三元半加法器。以延迟、总功率和功率延迟积(PDP)为指标,对基于GNRFET的三元逻辑门电路和基于传统CMOS和CNTFET技术的三元逻辑门电路进行了比较分析。利用H-SPICE工具和Nanohub网站上提供的GNRFET模型进行了仿真和分析。
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引用次数: 31
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IEEE Open Journal of Nanotechnology
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