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Behavioral Modeling of the Pinched Hysteresis Loop of a Pt/TiO2/Pt Memristor Pt/TiO2/Pt忆阻器夹滞环的行为建模
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500088
Aalvee Asad Kausani, M. Anwar
The fourth fundamental circuit element, the memristor, has become a promising candidate to substantially improve the energy and area efficiencies of circuits as traditional complementary metal-oxide-semiconductor (CMOS) technology is approaching its physical limit. However, a mathematical representation of the experimentally obtained current-voltage characteristic of the memristor is necessary to develop and test memristor-based circuitry in electrical design simulators. Here we have developed a behavioral model for the I-V trace of a Pt/TiO2/Pt memristor that can relate the fitting equations with the physical processes associated with the device in response to applied electrical excitation. Multiple conduction mechanisms are involved in memristor that depend upon its latest state. Therefore, the I-V has distinct segments that altogether form a hysteresis loop pinched at the center. In accordance with the predominant conduction mechanisms at each segment, our model defines the form of the equations. The behavioral model can adequately represent the experimental I-V retrieved from existing work.
随着传统的互补金属氧化物半导体(CMOS)技术接近其物理极限,第四种基本电路元件忆阻器已成为一个有希望大幅提高电路能量和面积效率的候选元件。然而,为了在电气设计模拟器中开发和测试基于忆阻器的电路,需要用数学形式表示实验得到的忆阻器的电流-电压特性。在这里,我们开发了一个Pt/TiO2/Pt忆阻器的I-V迹的行为模型,该模型可以将拟合方程与响应于外加电激励的器件相关的物理过程联系起来。忆阻器具有多种传导机制,其传导机制取决于其最新状态。因此,I-V具有不同的节段,它们共同形成一个在中心被挤压的磁滞回线。根据每段的主要传导机制,我们的模型定义了方程的形式。行为模型可以充分地表示从现有工作中检索到的实验I-V。
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引用次数: 0
High Speed 1550 nm Indium Gallium Arsenide-Indium Phosphide Photodetector 1550nm高速铟镓砷化铟磷化铟光电探测器
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500131
Erik Perez, R. Lacomb, F. Jain
This paper presents preliminary results of a high speed 1550 nm indium gallium arsenide (InGaAs)-based mesa-type modified uni-traveling carrier photodiode (M-UTC-PD) structure. Conventional UTC-PD refers to P-I-N type photodiodes which selectively use electrons as active carriers. Photons absorbed in the relatively thin P-type absorber create minority carriers which are field accelerated toward a depleted collector thereby establishing high velocity ballistic transport, making these structures applicable for high speed applications. The M-UTC-PD structure presented uses spatially tailored P-type absorber regions to limit minority carrier generation both in the lateral and axial dimensions. Utilizing an otherwise conventional UTC-PD epitaxial structure where the top P-type layers are undoped, the spatially tailored P-type regions are defined by closed ampoule Zinc diffusion techniques. The M-UTC-PD structure presented utilizes a series of nested p-doped rings within a mesa structure to limit dark current and reduce overall capacitance to improve high speed operation. Two photodiode structures will be investigated for this research project, a conventional UTC-PD structure and a modified structure, utilizing similar device designs, epitaxial designs and fabrication processes. The conventional structure will be utilized for fabrication process development, verification of epi quality and development of rapid prototyping approach toward chip-based testing and subsequent high speed RF testing procedures. Conventional UTC-PD device results will be used as a comparison to quantify the performance of the M-UTC-PD structure utilizing Zn-doped defined p-type absorber regions. Results are given for chip tests of UTC-PD chips verifying epitaxial quality and fabrication process, subsequent testing of packaged devices and RF analysis remains. Process development of the Zn-doped devices is underway, once completed, these devices will be compared to the base design to quantify performance enhancement associated with the modified design.
本文介绍了一种基于高速1550nm砷化铟镓(InGaAs)的台面型改性单行波载流子光电二极管(M-UTC-PD)结构的初步结果。传统的UTC-PD是指选择性地使用电子作为有源载流子的P-I-N型光电二极管。在相对薄的P型吸收体中吸收的光子产生少数载流子,这些载流子被场加速朝向耗尽的收集器,从而建立高速弹道传输,使这些结构适用于高速应用。所提出的M-UTC-PD结构使用空间定制的P型吸收区来限制横向和轴向尺寸中的少数载流子产生。利用传统的UTC-PD外延结构,其中顶部P型层未掺杂,通过封闭安瓿锌扩散技术来定义空间定制的P型区域。所提出的M-UTC-PD结构利用台面结构内的一系列嵌套p掺杂环来限制暗电流并降低总电容以提高高速操作。本研究项目将研究两种光电二极管结构,一种是传统的UTC-PD结构,另一种是改进的结构,利用类似的器件设计、外延设计和制造工艺。传统结构将用于制造工艺开发、epi质量验证以及基于芯片的测试和随后的高速RF测试程序的快速原型方法的开发。常规的UTC-PD器件结果将被用作比较,以量化利用Zn掺杂的限定的p型吸收区的M-UTC-PD结构的性能。给出了UTC-PD芯片测试的结果,验证了外延质量和制造工艺,随后对封装器件进行了测试,并保留了RF分析。Zn掺杂器件的工艺开发正在进行中,一旦完成,这些器件将与基础设计进行比较,以量化与修改设计相关的性能增强。
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引用次数: 0
PCB Security Modules for Reverse-Engineering Resistant Design 抗逆向工程设计的PCB安全模块
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500155
Shuai Chen, Lei Wang
As the crisis of confidence and trust in overseas foundries arises, the industry and academic community are paying increasing attention to Printed Circuit Board (PCB) security. PCB, the backbone of any electronic system hardware, always draws attackers’ attention as it carries system and design information. Numerous ways of PCB tampering (e.g., adding/replacing a component, eavesdropping on a trace and bypassing a connection) can lead to more severe problems, such as Intellectual Property (IP) violation, password leaking, the Internet of Things (IoT) attacks or even more. This paper proposes a technique of active self-defense PCB modules with zero performance overhead. Those protection modules will only be activated when the boards are exposed to the attacks. A set of PCBs with proposed protection modules is fabricated and tested to prove the effectiveness and efficiency of the techniques.
随着海外代工厂信任危机的出现,印制电路板(PCB)安全问题越来越受到业界和学术界的关注。PCB作为任何电子系统硬件的支柱,承载着系统和设计信息,总是引起攻击者的注意。许多PCB篡改方法(例如,添加/更换组件,窃听跟踪和绕过连接)可能导致更严重的问题,例如知识产权(IP)侵犯,密码泄露,物联网(IoT)攻击甚至更多。本文提出了一种零性能开销的PCB模块有源自防御技术。这些保护模块只有在单板受到攻击时才会被激活。制作并测试了一组具有所提出保护模块的pcb,以证明该技术的有效性和效率。
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引用次数: 0
Novel Multi-State QDC-QDG FETs and Gate All Around (GAA) FETs for Integrated Logic and QD-NVRAMs 用于集成逻辑和qd - nvram的新型多态QDC-QDG场效应管和GAA场效应管
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s012915642350026x
F. Jain, R. Gudlavalleti, J. Chandy, E. Heller
This paper presents experimental I-V characteristics of a QDC-QDG FET that exhibited 5-states and has the potential to introduce additional states (e.g. 8) by utilizing Ge QDSL mini-energy sub-bands. Mini-energy bands are formed in an asymmetric Si quantum dot channel (QDC) comprising of two silicon oxide cladded Si quantum dots (QDs), where the upper layer has a smaller core diameter and thicker upper oxide cladding serving as tunnel oxide. Quantum simulations are presented to show more states when additional two germanium oxide cladded Ge dots are added on top of Si QD layers in the gate region. This paper also proposes Gate all around (GAA) FETs, when integrated with nonvolatile random access memories (NVRAMs) that have the potential for wafer scale integration, similar to vertical NANDs. Novel Si and Ge Quantum-dot-based device configurations discussed in this paper open the pathway forward to implement hardware platform for emerging applications using low power consumption and smaller footprint.
本文介绍了QDC-QDG FET的实验I-V特性,该FET表现出5态,并有可能通过利用Ge QDSL微能子带引入附加态(例如8态)。在由两个氧化硅包覆的硅量子点(QD)组成的不对称硅量子点沟道(QDC)中形成迷你能带,其中上层具有较小的芯直径和用作隧道氧化物的较厚的上氧化物包覆层。量子模拟显示了当在栅极区域的Si QD层顶部添加额外的两个锗氧化物包覆的Ge点时的更多状态。本文还提出了当与非易失性随机存取存储器(NVRAM)集成时,与垂直NAND类似,具有晶圆级集成潜力的栅极环绕(GAA)FET。本文讨论的新型硅和锗量子点器件配置为使用低功耗和更小的占地面积实现新兴应用的硬件平台开辟了道路。
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引用次数: 0
Fabrication of Multi-Bit SRAMs Using Quantum Dot Channel (QDC)-Quantum Dot Gate (QDG) FET 用量子点沟道(QDC)-量子点栅极(QDG)FET制备多位SRAM
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500179
R. Gudlavalleti, Jacques Goosen, Tao Liu, Hunter Bradley, Elisa Parent, Abdulmajeed Almalki, Erik Perez, F. Jain
This paper presents fabrication of multi-state inverters incorporating SiOx-cladded Si quantum dot in the channel and gate region of driver, load, and access transistors. Experimental characteristics are presented exhibiting 3-state behavior in Quantum-dot Channel (QDC)-Quantum-dot Gate (QDG) FETs having Si quantum dots. It is shown that QDC-QDG-FETs-based enhancement mode inverter configurations are the building blocks of a multi-bit static random access memory (SRAM). QDC-QDG-FETs exhibiting four states can also be used to implement compact 4-state logic and nonvolatile memories or random access nonvolatile memories.
本文介绍了在驱动器、负载和存取晶体管的沟道和栅极区域中结合SiOx包层Si量子点的多态反相器的制造。给出了在具有Si量子点的量子点沟道(QDC)-量子点栅极(QDG)FET中表现出三态行为的实验特性。结果表明,基于QDC-QDG-FET的增强型反相器配置是多位静态随机存取存储器(SRAM)的构建块。呈现四种状态的QDC QDG FET也可用于实现紧凑的四态逻辑和非易失性存储器或随机存取非易失存储器。
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引用次数: 0
1D and 2D Chaotic Time Series Prediction Using Hierarchical Reservoir Computing System 基于分层油藏计算系统的一维和二维混沌时间序列预测
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500143
Md Razuan Hossain, Anur Dhungel, Maisha Sadia, P. Paul, Md. Sakib Hasan
Reservoir Computing (RC) is a type of machine learning inspired by neural processes, which excels at handling complex and time-dependent data while maintaining low training costs. RC systems generate diverse reservoir states by extracting features from raw input and projecting them into a high-dimensional space. One key advantage of RC networks is that only the readout layer needs training, reducing overall training expenses. Memristors have gained popularity due to their similarities to biological synapses and compatibility with hardware implementation using various devices and systems. Chaotic events, which are highly sensitive to initial conditions, undergo drastic changes with minor adjustments. Cascade chaotic maps, in particular, possess greater chaotic properties, making them difficult to predict with memoryless devices. This study aims to predict 1D and 2D cascade chaotic time series using a memristor-based hierarchical RC system.
油藏计算(RC)是一种受神经过程启发的机器学习,它擅长处理复杂和依赖时间的数据,同时保持较低的训练成本。RC系统通过从原始输入中提取特征并将其投影到高维空间中来生成不同的储层状态。RC网络的一个关键优势是,只有读出层需要训练,从而减少了整体训练费用。忆阻器因其与生物突触的相似性以及与使用各种设备和系统的硬件实现的兼容性而广受欢迎。混沌事件对初始条件高度敏感,经过微小调整后会发生剧烈变化。级联混沌映射尤其具有更大的混沌特性,这使得它们很难用无记忆设备进行预测。本研究旨在使用基于忆阻器的分级RC系统预测1D和2D级联混沌时间序列。
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引用次数: 1
Utilizing Machine Learning for Rapid Discrimination and Quantification of Volatile Organic Compounds in an Electronic Nose Sensor Array 利用机器学习快速识别和定量电子鼻传感器阵列中的挥发性有机化合物
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500052
J. Grasso, Jing Zhao, B. Willis
Volatile organic compounds (VOCs) are ubiquitous in the surroundings, originating from both industrial and natural sources. VOCs directly impact the quality of both indoor and outdoor air and play a significant role in processes such as fruit ripening and the body’s metabolism. VOC monitoring has seen significant growth recently, with an emphasis on developing low-cost, portable sensors capable of both vapor discrimination and concentration measurements. VOC sensing remains challenging, mainly because these compounds are nonreactive, appear in low concentrations and share similar chemical structures that results in poor sensor selectivity. Therefore, individual gas sensors struggle to selectively detect target VOCs in the presence of interferences. Electronic noses overcome these limitations by employing machine learning for pattern recognition from arrays of gas sensors. Here, an electronic nose fabricated with four types of functionalized gold nanoparticles demonstrates rapid detection and quantification of eight types of VOCs at four concentration levels. A robust two-step machine learning pipeline is implemented for classification followed by regression analysis for concentration prediction. Random Forest and support vector machine classifiers show excellent results of 100% accuracy for VOC discrimination, independent of measured concentration levels. Each Random Forest regression analysis exhibits high R2 and low RMSE with an average of 0.999 and 0.002, respectively. These results demonstrate the ability of gold nanoparticle gas sensor arrays for rapid detection and quantification.
挥发性有机化合物(VOCs)在环境中无处不在,来源于工业和自然资源。挥发性有机物直接影响室内外空气质量,并在水果成熟和身体代谢等过程中发挥重要作用。VOC监测最近出现了显著的增长,重点是开发低成本、便携式的传感器,能够识别蒸汽和测量浓度。VOC传感仍然具有挑战性,主要是因为这些化合物是非反应性的,以低浓度出现,并且具有相似的化学结构,导致传感器选择性差。因此,单个气体传感器难以在存在干扰的情况下选择性地检测目标挥发性有机物。电子鼻通过使用机器学习从气体传感器阵列进行模式识别来克服这些限制。在这里,用四种类型的功能化金纳米颗粒制造的电子鼻证明了在四个浓度水平下对八种类型的挥发性有机物的快速检测和定量。实现了一个稳健的两步机器学习流水线用于分类,然后进行回归分析用于浓度预测。随机森林和支持向量机分类器在VOC识别方面显示出100%准确率的优异结果,与测量的浓度水平无关。每个随机森林回归分析都显示出高R2和低RMSE,平均值分别为0.999和0.002。这些结果证明了金纳米粒子气体传感器阵列的快速检测和定量能力。
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引用次数: 0
Memristor-Based Material Implication Logic: Prelude to In-Memory Computing 基于忆阻器的材料蕴涵逻辑:内存计算的前奏
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500210
A. Mazady, M. Anwar
We report experimental demonstration of Material Implication (IMP) logic using ZnO nanowire-based memristors. The logic is demonstrated with a high-to-low resistance ratio of only five. This imposes much less stringent requirements on memristor performance that can enable IMP logic operation with lower bit error rates. Process independence on memristor and memristor-based IMP logic performance is demonstrated, and a more practical implementation of logic is made by relaxing the restriction imposed on the ranges of the values of on and off state resistances. IMP logic is validated up to a clock frequency of 100 KHz.
我们报道了使用ZnO纳米线基忆阻器的材料隐含(IMP)逻辑的实验演示。该逻辑通过仅为5的高电阻与低电阻之比来证明。这对忆阻器性能提出了不那么严格的要求,忆阻器可以实现具有较低误码率的IMP逻辑操作。证明了忆阻器和基于忆阻器的IMP逻辑性能的过程独立性,并通过放宽对导通和关断状态电阻值范围的限制来实现更实际的逻辑。IMP逻辑在高达100KHz的时钟频率下被验证。
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引用次数: 0
Enhancing Number of Bits Via Mini-Energy Band Transitions Using Si Quantum Dot Channel (QDC) and Ge Quantum Dot Gate (QDG) FETs and NVRAMs 利用Si量子点通道(QDC)和Ge量子点门(QDG)场效应管和nvram通过小能带跃迁提高比特数
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500180
F. Jain, R. Gudlavalleti, A. Almalki, B. Saman, P-Y. Chan, J. Chandy, F. Papadimitrakopoulos, E. Heller
This paper presents multi-state QDC-QDG FET structures that has the potential to introduce additional states (8 or 16) by utilizing additional mini-energy sub-bands. Mini-energy bands are formed in Si quantum dot channel (QDC) comprising two silicon oxide cladded Si quantum dots (QDs). Quantum simulations are presented to show more states when additional two germanium oxide cladded Ge dots are added on top of two Si QD layers in the gate region. With the addition of a control gate oxide layer, we transform the QDC-QDG-FET into a quantum dot (QD) nonvolatile random access memory (NVRAM). Quantum simulations are presented.
本文提出了多态QDC-QDG FET结构,该结构有可能通过利用额外的微能子带引入额外的态(8或16)。在包括两个氧化硅包覆的Si量子点(QD)的Si量子点通道(QDC)中形成微小能带。量子模拟显示了当在栅极区域的两个Si QD层的顶部添加额外的两个锗氧化物包覆的Ge点时的更多状态。通过添加控制栅极氧化物层,我们将QDC-QDG-FET转换为量子点(QD)非易失性随机存取存储器(NVRAM)。给出了量子模拟。
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引用次数: 0
Next Generation RF Modules for 5G, IoT, AR/VR and RFID Applications 用于5G、物联网、AR/VR和RFID应用的下一代射频模块
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500167
Marvin Joshi, Kexin Hu, G. Soto-Valle, Hani Al Jamal, M. Tentzeris
The rapid development and deployment of 5G/mm-Wave technologies for communication, sensing and energy harvesting applications have been on the rise. Consequently, the need for low-cost, scalable, agile and compact RF modules has become more prominent than ever. This paper presents a review of recent efforts in utilizing additive manufacturing techniques such as inkjet printing to sustainably accelerate the massive deployment of 5G/mm-Wave. First, a novel flexible and massively scalable multiple-input, multiple-output (MIMO) tile-based phased array enabled by additively manufactured microstrip-to-microstrip transitions is presented. Next, a novel Rotman-Based harmonic mmID tag for Ultra-Long-Range localization is presented. Finally, low-power, low-cost mm-Wave backscattering modules for localization and orientation sensing are demonstrated.
5G/mm波技术在通信、传感和能源收集应用中的快速发展和部署呈上升趋势。因此,对低成本、可扩展、灵活和紧凑的RF模块的需求比以往任何时候都更加突出。本文回顾了最近利用喷墨打印等增材制造技术可持续加速5G/mm波大规模部署的努力。首先,提出了一种新的灵活且可大规模扩展的基于多输入多输出(MIMO)瓦片的相控阵,该阵列通过添加制造的微带到微带过渡来实现。接下来,提出了一种用于超长距离定位的新型基于Rotman的谐波mmID标签。最后,演示了用于定位和定向传感的低功耗、低成本毫米波后向散射模块。
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引用次数: 0
期刊
International Journal of High Speed Electronics and Systems
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