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Asynchronous real-time learning in Spiking Neural Network using 3-terminal Resistance Random Access Memory 基于3端电阻随机存取存储器的脉冲神经网络异步实时学习
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-22 DOI: 10.1016/j.mee.2025.112429
Harshvardhan Singh , Nirmal Solanki , Jaskirat Singh Maskeen , Shalu Saini , Madhav Pathak , Sandip Lashkare
Spiking Neural Networks (SNNs) inspired by the human brain are promising alternative to solve real-life complex problems, such as pattern recognition at low energy consumption. A key approach to implementing SNNs involves using a Resistance Random Access Memory (RRAM) crossbar array to simulate synaptic weights, which can have multi-step resistance states suitable for processing analog signals. However, a major hurdle with traditional 2-terminal RRAMs is the “read–write dilemma”: the low voltage needed for a non-destructive read operation conflicts with the high voltage required for a write operation, making simultaneous, real-time learning challenging. Current solutions to this problem, such as time or frequency division multiplexing and separate read/write arrays, increase the circuit’s complexity, size, or operation time. This paper proposes a novel solution using a recently developed 3-terminal (3T) Pr0.7Ca0.3MnO3 (PCMO) RRAM. By using two terminals for writing and a third, dedicated decoupled terminal for reading, this architecture allows for simultaneous and asynchronous read and write operations. This approach resolves the read–write conflict inherent in 2-terminal designs, enabling real-time learning in SNNs without significant increase in circuit overhead and learning time.
受人脑启发的脉冲神经网络(SNNs)有望解决现实生活中的复杂问题,如低能耗模式识别。实现snn的一个关键方法是使用电阻随机存取存储器(RRAM)交叉棒阵列来模拟突触权重,它可以具有适合处理模拟信号的多步电阻状态。然而,传统的2端rram的一个主要障碍是“读写困境”:非破坏性读取操作所需的低电压与写入操作所需的高电压相冲突,这使得同步、实时学习变得困难。目前解决这个问题的方案,如时分或频分复用和单独的读/写阵列,增加了电路的复杂性、尺寸或操作时间。本文提出了一种新的解决方案,使用最新开发的3端(3T) Pr0.7Ca0.3MnO3 (PCMO) RRAM。通过使用两个终端进行写入,使用第三个专用的解耦终端进行读取,这种体系结构允许同时和异步读写操作。这种方法解决了双端设计中固有的读写冲突,在不显著增加电路开销和学习时间的情况下实现了snn的实时学习。
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引用次数: 0
Simulation of SAF-enhanced multilayered STT-MRAM structures saf增强多层STT-MRAM结构的仿真
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-06 DOI: 10.1016/j.mee.2025.112426
M. Bendra , W. Goes , S. Selberherr , V. Sverdlov
The reliability of multilayered spin-transfer torque magnetoresistive random access memory with synthetic antiferromagnets is crucial for computing-in-memory architectures, high-performance computing, and high-density storage applications. This study investigates the role of interlayer exchange coupling in magnetic tunnel junction structures, which are fundamental to spin-transfer torque magnetoresistive random access memory performance and stability. We analyze how interlayer exchange coupling influences magnetic stability and spin-transfer torque switching efficiency using finite element method simulations combined with the Landau–Lifshitz–Gilbert equation. Our findings reveal that optimizing interlayer exchange coupling not only enhances data retention and write/read speeds but also mitigates miniaturization challenges and improves device reliability in downscaled spin-transfer torque magnetoresistive random access memory technologies. The results further emphasize the strong dependence of interlayer exchange coupling on spacer properties, which dictate magnetic orientations and coupling energy, offering a strategic pathway to engineer more efficient and robust spin-transfer torque magnetoresistive random access memory devices. This work highlights the critical impact of magnetic coupling on the switching dynamics and long-term stability of spintronic memory, providing insights that pave the way for next-generation, high-performance memory solutions.
合成反铁磁体多层自旋转移转矩磁阻随机存取存储器的可靠性对于内存计算体系结构、高性能计算和高密度存储应用至关重要。本研究探讨了层间交换耦合在磁隧道结结构中的作用,这是自旋传递转矩磁阻随机存取存储器性能和稳定性的基础。利用有限元模拟方法结合Landau-Lifshitz-Gilbert方程分析了层间交换耦合对磁稳定性和自旋传递转矩转换效率的影响。我们的研究结果表明,优化层间交换耦合不仅可以提高数据保留和写入/读取速度,还可以减轻小型化挑战,提高小尺寸自旋转移转矩磁阻随机存取存储器技术的设备可靠性。研究结果进一步强调了层间交换耦合对间隔层性质的强烈依赖,间隔层性质决定了磁取向和耦合能,为设计更高效、更稳健的自旋转移转矩磁阻随机存取存储器器件提供了一条战略途径。这项工作强调了磁耦合对自旋电子存储器的开关动力学和长期稳定性的关键影响,为下一代高性能存储器解决方案铺平了道路。
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引用次数: 0
Vialess non-spiral on-chip stacked transformer on high-resistivity silicon for improved RF power transfer efficiency 高电阻率硅片上无孔非螺旋堆叠变压器,提高射频功率传输效率
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-04 DOI: 10.1016/j.mee.2025.112424
Najeh Zeidi , Farès Tounsi , Jean-Pierre Raskin , Denis Flandre
On-chip transformers are fundamental components in integrated circuits, serving key functions such as impedance matching, signal coupling, voltage conversion, and galvanic isolation in high-frequency and mixed-signal systems. However, their performance is often limited by factors like substrate losses, interwinding capacitance, and series resistance, which reduce both bandwidth and efficiency. This paper presents a novel non-spiral, vialess stacked on-chip transformer featuring a compact 620 μm × 620 μm footprint, utilizing only two metal layers to achieve enhanced high-frequency power transfer efficiency. Key performance metrics, such as quality factor (Q), coupling coefficient (Kim), self-resonant frequency, and maximum power transfer efficiency, are compared against those of interleaved and interwinding transformers, all under identical geometric constraints, using both experimental measurements and electromagnetic simulations. All devices were fabricated on a high-resistivity silicon substrate with a trap-rich layer (HR-Si + TR), providing a quasi-insulated platform that significantly reduces substrate losses. Despite the interwinding transformer achieving the highest coupling coefficient (Kim = 0.96) and the interleaved transformer showing superior Q-factors (Q1 = Q2 = 5.7), the proposed non-spiral stacked design demonstrates the larger peak power transfer efficiency of 0.72 at 2.5 GHz, outperforming the interleaved (0.60 at 2.66 GHz) and interwinding (0.45 at 0.90 GHz) configurations. Moreover, the design maintains this performance superiority even on standard low-resistivity silicon, confirming its robustness and suitability for passive RF integration in CMOS-compatible processes. This efficiency enhancement stems from an exceptionally low mutual resistive coupling, achieved through strong vertical magnetic linkage and reduced series resistance in parallel conductor paths.
片上变压器是集成电路中的基本部件,在高频和混合信号系统中具有阻抗匹配、信号耦合、电压转换和电流隔离等关键功能。然而,它们的性能通常受到衬底损耗、绕线电容和串联电阻等因素的限制,从而降低了带宽和效率。本文提出了一种新型的非螺旋、无孔堆叠片上变压器,其尺寸为620 μm × 620 μm,仅利用两层金属层来提高高频功率传输效率。关键性能指标,如质量因子(Q),耦合系数(Kim),自谐振频率和最大功率传输效率,与那些交错和交错变压器进行比较,所有在相同的几何约束下,使用实验测量和电磁模拟。所有器件都是在高电阻率硅衬底上制造的,衬底上有一个富阱层(HR-Si + TR),提供了一个准绝缘平台,显著降低了衬底损耗。尽管交错变压器实现了最高的耦合系数(Kim = 0.96),交错变压器显示出优越的q因子(Q1 = Q2 = 5.7),但所提出的非螺旋堆叠设计显示出更高的峰值功率传输效率,在2.5 GHz时为0.72,优于交错(2.66 GHz时为0.60)和交错(0.45)配置。此外,该设计即使在标准低电阻率硅上也保持了这种性能优势,证实了其稳健性和对cmos兼容工艺中无源射频集成的适用性。这种效率的提高源于极低的互阻耦合,通过强大的垂直磁连接和减少并联导体路径中的串联电阻来实现。
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引用次数: 0
Extensive FPGA and ASIC resource comparison for blind I/Q imbalance estimators and compensators 广泛的FPGA和ASIC资源比较盲I/Q不平衡估计器和补偿器
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-03 DOI: 10.1016/j.mee.2025.112421
Moritz Tockner , Moritz Stockinger , Oliver Lang , Andreas Meingassner , Mario Huemer
In wireless communications, in-phase (I) and quadrature-phase (Q) imbalance is a well-understood issue, and an extensive body of different I/Q imbalance estimation and compensation algorithms exists in the literature. Many of these algorithms, including those in this work, focus on mitigating I/Q imbalance on the receiver side. We consider frequency-independent (FID) estimators that operate as so-called blind algorithms, where little to no knowledge about the transmitted data is required. However, little effort has been made to compare the required resources for implementing these algorithms in hardware. In this work, we compare a comprehensive list of such algorithms with regard to their logic utilization, required registers, and embedded multipliers when implementing them on a field-programmable gate array (FPGA). Subsequently, we provide synthesis results based on the SkyWater 130 nm open-source process design kit (PDK), which enables comparisons of the required chip areas for the corresponding application-specific integrated circuit (ASIC) designs. We optimize the fixed-point bit-widths, and other hardware implementation specific parameters of the individual estimators to provide meaningful results. This optimization aims to achieve a common performance target for a typical orthogonal frequency-division multiplexing (OFDM) signal scenario.
在无线通信中,同相(I)和正交相(Q)不平衡是一个众所周知的问题,文献中存在大量不同的I/Q不平衡估计和补偿算法。其中许多算法,包括本研究中的算法,都侧重于减轻接收端I/Q失衡。我们考虑频率无关(FID)估计器作为所谓的盲算法运行,其中几乎不需要传输数据的知识。然而,很少有人对在硬件中实现这些算法所需的资源进行比较。在这项工作中,我们比较了在现场可编程门阵列(FPGA)上实现这些算法时,它们的逻辑利用率,所需寄存器和嵌入式乘法器的综合列表。随后,我们提供了基于SkyWater 130 nm开源工艺设计套件(PDK)的合成结果,可以比较相应专用集成电路(ASIC)设计所需的芯片面积。为了提供有意义的结果,我们优化了各个估计器的定点位宽度和其他硬件实现特定参数。该优化旨在实现典型正交频分复用(OFDM)信号场景的共同性能目标。
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引用次数: 0
Understanding the impact of contacts and top gate scaling on the reliability of nanoscale MoS2 FETs by TCAD modeling 通过TCAD建模了解触点和顶栅极缩放对纳米MoS2 fet可靠性的影响
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-03 DOI: 10.1016/j.mee.2025.112425
Yezhu Lv, Yajing Chai, Yehao Wu, Yury Yu. Illarionov
Localized defects in the edges of top gate insulators present a serious obstacle for scaling of field-effect transistors (FETs) with 2D channels. However, most experimental studies of their bias stability are performed on micron-scale prototypes. In these devices homogeneous trap distributions can be assumed since the edges are negligible as compared to the channel lengths, and thus their bias stability is mostly determined by the energy barrier between the oxide defect bands and the conduction band edge of the channel (for n-FETs). By doing technology computer aided design (TCAD) modeling for nanoscale MoS2/HfO2 FETs with edge trap distributions, here we for the first time demonstrate that the hysteresis and positive bias-temperature instabilities (PBTI) may strongly depend on the Fermi level pinning, type of S/D contact and top gate scaling. As a result, even favorable alignment of oxide defect bands with respect to the channel conduction band edge may result in poor bias stability and vice versa. With these findings we open a pathway towards reliability-aware design of scalable 2D electronics which is currently disregarded by the industry.
顶栅绝缘子边缘的局部缺陷严重阻碍了二维沟道场效应晶体管(fet)的缩放。然而,大多数关于其偏置稳定性的实验研究都是在微米尺度的原型上进行的。在这些器件中,由于边缘与沟道长度相比可以忽略不计,因此可以假设均匀的陷阱分布,因此它们的偏置稳定性主要取决于氧化物缺陷带和沟道导带边缘之间的能量势垒(对于n- fet)。通过对具有边缘陷阱分布的纳米级MoS2/HfO2 fet进行技术计算机辅助设计(TCAD)建模,我们首次证明了迟滞和正偏温不稳定性(PBTI)可能强烈依赖于费米能级钉钉、S/D接触类型和顶栅标度。因此,即使氧化物缺陷带相对于沟道导带边缘的有利排列也可能导致差的偏置稳定性,反之亦然。有了这些发现,我们为可扩展2D电子设备的可靠性感知设计开辟了一条道路,这一设计目前被业界所忽视。
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引用次数: 0
Charge-controlled memcapacitors for the output voltage ripple reduction in DC-DC buck converters DC-DC降压变换器中用于减少输出电压纹波的电荷控制mem电容器
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-27 DOI: 10.1016/j.mee.2025.112423
Francisco J. Romero, Víctor Toral, Diego P. Morales, Noel Rodríguez
Memcapacitors, due to their variable capacitance and non-volatile memory effect, are expected to cause a disruption across different areas of research and engineering. In the context of power electronics, memcapacitors have not yet been considered despite their potential for ripple reduction, voltage stabilization and improved energy efficiency. This work presents both simulation and experimental results demonstrating how incorporating a memcapacitor at the output of a DC-DC buck converter can significantly reduce the output voltage ripple. We first propose and validate a memcapacitor emulator that can be implemented using off-the-shelf components. After that, the memcapacitor emulator is used to study the output voltage ripple in the permanent regime of a DC-DC buck converter as well as its effect on the transient response. The results demonstrate that the use of a charge-controlled memcapacitor can reduce the output voltage ripple by up to 90 %. While the memcapacitor emulator serves as a practical tool for this investigation, the goal of this work is demonstrating the potential of memcapacitors for power electronics, evidencing the need for further research and development toward solid-state memcapacitor devices to unlock new possibilities for ripple reduction, energy efficiency, and voltage stabilization in advanced power electronics systems.
Memcapacitors由于其可变电容和非易失性存储器效应,预计将在不同的研究和工程领域造成破坏。在电力电子领域,尽管memcapacitors具有减少纹波、稳定电压和提高能效的潜力,但尚未被考虑。这项工作提供了仿真和实验结果,证明了在DC-DC降压转换器的输出端加入memcapacitor可以显着降低输出电压纹波。我们首先提出并验证了一个memcapacitor模拟器,它可以使用现成的组件来实现。在此基础上,利用memcapacitor仿真器研究了DC-DC降压变换器的输出电压纹波及其对瞬态响应的影响。结果表明,使用电荷控制的memcapacitor可以减少输出电压纹波达90%。虽然memcapacitor模拟器是本研究的实用工具,但这项工作的目标是展示memcapacitor在电力电子领域的潜力,证明需要进一步研究和开发固态memcapacitor器件,以解锁先进电力电子系统中纹波减少,能效和电压稳定的新可能性。
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引用次数: 0
Process development and integration of hybrid bonding for wafers with multi-type bonding pads 多类型键合片混合键合的工艺开发与集成
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-13 DOI: 10.1016/j.mee.2025.112420
Guoqiang Zhao , Yi Zhao
Hybrid bonding technology is widely concerned in the field of advanced packaging, due to its high density and short distance. Current research focuses on the implementation of wafers with only one type of pad. However, integrating multi-type pads on the same wafer introduces huge challenges in process control, especially ensuring tight concave variations across all copper pads during the CMP step. In this work, the novel hybrid bonding process for wafers featuring pads of various sizes and shapes has been developed and verified. Characterization techniques such as AFM, SEM, TEM and EDS were adopted to conduct in-depth analysis of the interest region before and after bonding, confirming the effectiveness of the strategy. These results can provide guidance for flexibilizing pad design, optimizing bonding process, and enhancing bonding quality under complex scenarios.
杂化键合技术以其高密度、距离短等优点在先进封装领域受到广泛关注。目前的研究主要集中在只有一种衬垫的晶圆的实现上。然而,在同一晶圆上集成多种类型的衬垫,在工艺控制方面带来了巨大的挑战,特别是在CMP步骤中确保所有铜衬垫的凹度变化。在这项工作中,开发并验证了具有各种尺寸和形状的晶圆片的新型混合键合工艺。采用AFM、SEM、TEM、EDS等表征技术对键合前后的兴趣区域进行深入分析,证实了该策略的有效性。研究结果可为复杂场景下柔性焊盘设计、优化键合工艺、提高键合质量提供指导。
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引用次数: 0
A statistical characterization of dielectric breakdown in FDSOI nanowire transistors FDSOI纳米线晶体管中介电击穿的统计特性
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-06 DOI: 10.1016/j.mee.2025.112422
R. Goyal, A. Crespo-Yepes, M. Porti, R. Rodriguez, M. Nafria
In this work, dielectric breakdown (BD) and post-BD conduction in ultimate FDSOI nanowire (NW) transistors with Ω-gate and high-k dielectric have been investigated. The experiments show that BD in largely scaled NW transistors differ significantly from that in bulk planar transistors. Several types of post-BD behaviours have been observed, some of which not only hinder the device performance, but also jeopardize the integrity of the nanowire structure and materials. A comprehensive study of the phenomena has been performed on pMOS and nMOS with different widths and lengths, under different temperature conditions.
本文研究了具有Ω-gate和高k介电介质的极限FDSOI纳米线(NW)晶体管的介电击穿(BD)和介电击穿后导通。实验结果表明,大尺度NW晶体管的双相密度与大尺寸平面晶体管的双相密度有显著差异。已经观察到几种类型的bd后行为,其中一些不仅会阻碍器件性能,而且会危及纳米线结构和材料的完整性。对不同宽度和长度的pMOS和nMOS在不同温度条件下的现象进行了全面的研究。
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引用次数: 0
A novel H-shaped FET for enhanced CFET performance at advanced technology node 一种新型的h型场效应管,在先进的技术节点上提高了场效应管的性能
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-27 DOI: 10.1016/j.mee.2025.112419
Xin Wang , Haoyan Liu , Longyu Sun , Jiayi Zhang , Xiaofeng Jia , Xiaotong Mao , Huaizhi Luo , Fei Zhao , Yongliang Li
In this work, a novel H-shaped pFET (pHFET) is proposed to address the n/p driven current mismatch in the complementary field effect transistor (CFET) architecture. It is realized through secondary fin patterning and selective lateral epitaxy, forming dual (110) dominant oriented fins to enlarge effective channel area (Aeff) and enhance hole mobility. The performance of H-shaped FETs (HFETs) for both nFET and pFET is evaluated through TCAD simulations. Detailed comparison with conventional NSFETs confirms the application potential of pHFETs. Following the principles of design-technology co-optimization (DTCO), key structural parameters, including Hfin and Tfin, are optimized to enhance device performance. Under the optimized dimensions, the proposed pHFET achieves a 24 % ION improvement and 6.2 % reduction in intrinsic delay over conventional NSFETs. Circuit-level implementations in RO, Inverter, and 6 T-SRAM confirm its superior performance, especially for high-speed applications. Additionally, the ladder-FETs, which formed by stacking HFET, are also presented and discussed to extend the scalability and practical applicability of HFETs.
在这项工作中,提出了一种新型的h形fet (pHFET)来解决互补场效应晶体管(CFET)结构中n/p驱动的电流失配问题。它是通过二次翅片图片化和选择性横向外延来实现的,形成双(110)主导定向翅片,以扩大有效通道面积(Aeff)和提高孔迁移率。通过TCAD仿真对fet和fet的性能进行了评价。通过与传统nsfet的详细比较,证实了phfet的应用潜力。根据设计-技术协同优化(DTCO)原则,对Hfin和Tfin等关键结构参数进行优化,以提高器件性能。在优化的尺寸下,所提出的pHFET比传统的nsfet实现了24%的离子提高和6.2%的内在延迟降低。电路级的实现在反渗透,逆变器,和6 T-SRAM确认其优越的性能,特别是高速应用。此外,本文还提出并讨论了由HFET堆叠而成的阶梯场效应管,以扩展HFET的可扩展性和实用性。
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引用次数: 0
Ultra-compact neural network ADC exploiting ferroelectric FETs 利用铁电场效应管的超紧凑神经网络ADC
IF 3.1 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-27 DOI: 10.1016/j.mee.2025.112404
Ayan Banerjee , Sagnik Bhattacharya , Arka Chakraborty, Yogesh Singh Chauhan, Shubham Sahay
Development of ultra-compact, low-to-medium precision analog-to-digital converters (ADCs) with unprecedented energy-efficiency is essential to meet the ever-increasing demand for data converters in advanced computing systems including neuromorphic accelerators based on emerging non-volatile memories. To this end, in this work, for the first time, we propose a feedforward neural network ADC based on a network of highly scalable, CMOS-compatible, and energy efficient ferroelectric-FinFET (Fe-FinFET) synaptic elements. Our lower triangular neural network (LTNN) ADC design, implemented using 7-nm technology along with an experimentally calibrated compact model for Fe-FinFETs, consumes 5.44μW of power, 2.66 μm2 of area while operating at a speed of 1.23 megasamples per second for 4-bit precision. The proposed neural network ADC may pave the way for realization of highly efficient neuromorphic processing engines and neuro-optimizers based on cross-point array of emerging non-volatile memories.
为了满足包括基于新兴非易失性存储器的神经形态加速器在内的先进计算系统对数据转换器日益增长的需求,开发具有前所未有能效的超紧凑、中低精度模数转换器(adc)至关重要。为此,在这项工作中,我们首次提出了一种前馈神经网络ADC,该网络基于高度可扩展,cmos兼容且节能的铁电- finfet (Fe-FinFET)突触元件网络。我们的下三角神经网络(LTNN) ADC设计采用7nm技术和实验校准的fe - finfet紧凑模型实现,功耗为5.44μW,面积为2.66 μm2,工作速度为1.23兆样本/秒,精度为4位。所提出的神经网络ADC可能为实现基于新兴非易失性存储器的交叉点阵列的高效神经形态处理引擎和神经优化器铺平道路。
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引用次数: 0
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Microelectronic Engineering
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