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Room Temperature Negative Differential Resistance in Gate-All-Around Field-Effect Transistors With 1D Active Channels
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-29 DOI: 10.1109/TNANO.2025.3565276
Amit Verma;Reza Nekovei;Daryoush Shiri
We report on the presence of a Negative Differential Resistance (NDR) in a Gate-All-Around Field Effect Transistor (GAAFET) with 1D nanowires or nanotubes as the active conducting channel. Here, the drain current is seen to decrease sharply at relatively higher gate voltages. The onset of NDR is tunable with device topology. The NDR mechanism in this work is due to the applied gate voltage, not the drain-source voltage, a feature which promises low-voltage application of this effect. The results are based on a self-consistent ensemble Monte Carlo charge-carrier transport model with an electrostatic solver that solves Gauss's law in integral form.
我们报道了以一维纳米线或纳米管作为有源导电通道的栅极全能场效应晶体管(GAAFET)中存在负差分电阻(NDR)。在这里,漏极电流在相对较高的栅极电压下急剧下降。NDR的起始时间可以根据设备拓扑进行调整。这项工作中的NDR机制是由于施加的栅极电压,而不是漏源电压,这一特性保证了这种效应的低压应用。结果是基于自洽系综蒙特卡罗电荷-载流子输运模型,该模型具有以积分形式求解高斯定律的静电求解器。
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引用次数: 0
A Novel Underlay Metal Strip Loaded Doping-Less Heterojunction (GaSb/Si) TFET Biosensor for Autoimmune Disease Detection 一种用于自身免疫性疾病检测的新型衬底金属条负载无掺杂异质结(GaSb/Si) TFET生物传感器
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-17 DOI: 10.1109/TNANO.2025.3561947
Madhulika Verma;Sachin Agrawal
In human being autoimmune diseases are caused by the immune system's attack on body tissues. Therefore, advanced diagnostic tools for their early and accurate detection is highly needed. This study introduces a new underlay metal strip loaded doping-less heterojunction (GaSb/Si) TFET biosensor (UMS-DL-HJ-TFETB) device with exceptional sensitivity and performance. Key design features include an underlay metal strip for improved tunnelling and the cavities are on the source region to achieve a peak drain current sensitivity of 6.7 × 10$^{10}$ at k = 12 and V$_{gs}$ = 0.45 V. With a cut-off frequency of 3.27 × 10$^{8}$ Hz and a response time of 496 ps, the proposed biosensor exhibits excellent RF performance. The device performance in detecting DNA charge densities ranging from $pm$1 × 10$^{11}$ cm$^{-2}$ to $pm$1 × 10$^{12}$ cm$^{-2}$ has also been studied. In addition, five non-uniform distributions which is caused by the steric hindrance effect have been optimized. A comparative analysis is also done for fair evaluation. The simulation results show that the proposed biosensor addresses the limitations of conventional methods, providing high sensitivity, rapid detection and reliable diagnostic accuracy for autoimmune diseases.
在人类中,自身免疫性疾病是由免疫系统攻击身体组织引起的。因此,迫切需要先进的诊断工具来早期准确地发现它们。本研究介绍了一种具有优异灵敏度和性能的新型衬底金属条加载无掺杂异质结(GaSb/Si) TFET生物传感器(UMS-DL-HJ-TFETB)器件。关键的设计特点包括一个衬底金属条,用于改善隧道掘进,空腔位于源区,在k = 12和V$ {gs}$ = 0.45 V时实现6.7 × 10${10}$的峰值漏极电流灵敏度。该生物传感器的截止频率为3.27 × 10$^{8}$ Hz,响应时间为496 ps,具有优异的射频性能。研究了器件在检测$pm$1 × 10$^{11}$ cm$^{-2}$到$pm$1 × 10$^{12}$ cm$^{-2}$范围内的DNA电荷密度的性能。此外,还对由位阻效应引起的五种不均匀分布进行了优化。为了公平评价,还进行了对比分析。仿真结果表明,所提出的生物传感器解决了传统方法的局限性,对自身免疫性疾病具有高灵敏度、快速检测和可靠的诊断准确性。
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引用次数: 0
Vector-Matrix Multiplier Architecture for In-Memory Computing Applications With RRAM Arrays 基于RRAM阵列的内存计算应用的向量矩阵乘法器架构
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-15 DOI: 10.1109/TNANO.2025.3560912
Bipul Boro;Rushik Parmar;Gaurav Trivedi
Artificial Intelligence (AI) has advanced to the stage where modern problems can be transformed into AI problems with computational costs. Increased complexity has exponentially raised computation and inference demands, primarily due to Von Neumann architecture limitations. In-memory computing (IMC) revolutionizes this paradigm by eliminating memory read-write overheads. Notably, the utilization of Resistive Random Access Memory (RRAM) in vector-matrix multiplication (VMM) configurations within IMC architectures has demonstrated substantial performance enhancements. In the proposed work, utilizing Digital-to-Time Converters (DTCs) and Time-to-Digital Converters (TDCs) optimizes hardware resources substantially within in-memory computing (IMC) architectures. Our proposed DTC and TDC blocks exhibit power consumptions of $41 mu text{W}$ and $38 mu text{W}$ and delays of $896 text{ps}$ and $530 text{ps}$. Additionally, we introduce a $4T-1R$ structure with Reset Stop Block (RSB) that facilitates 2-bit RRAM reprogramming and entails a latency of $1.07 mu text{s}$ and energy/cell of $0.11 text{pJ}$. The overall energy efficiency of Time-Domain VMM (TDVMM) architecture is $866.6 text{Tops/W}$, which is $1.61 times$ more efficient than contemporary TDVMMs. Furthermore, our design consistently performs with a cycle-to-cycle variability of 23%, showcasing its tolerance to variations.
人工智能(AI)已经发展到可以将现代问题转化为具有计算成本的AI问题的阶段。增加的复杂性使计算和推理需求呈指数级增长,这主要是由于冯·诺依曼架构的限制。内存计算(IMC)通过消除内存读写开销彻底改变了这种范式。值得注意的是,在IMC架构中的矢量矩阵乘法(VMM)配置中使用电阻性随机存取存储器(RRAM)已经证明了显著的性能增强。在提出的工作中,利用数字到时间转换器(dtc)和时间到数字转换器(tdc)在内存计算(IMC)架构中大大优化了硬件资源。我们提出的DTC和TDC块的功耗分别为$41 mu text{W}$和$38 mu text{W}$,延迟分别为$896 text{ps}$和$530 text{ps}$。此外,我们引入了一个带有复位停止块(RSB)的$4T-1R$结构,促进了2位RRAM重编程,并且需要$1.07 mu text{s}$的延迟和$0.11 text{pJ}$的能量/单元。时域VMM (TDVMM)架构的整体能源效率为$866.6 text{Tops/W}$,比当代TDVMM效率高$1.61 $。此外,我们的设计始终以23%的周期变异性执行,展示了其对变化的容忍度。
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引用次数: 0
Comprehensive Analysis of TreeFET: A Circuit Perspective 树效应的综合分析:电路的视角
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-14 DOI: 10.1109/TNANO.2025.3560672
N. Aruna Kumari;Brajesh Kumar Kaushik
In this article, a comprehensive performance analysis of the emerging and novel TreeFET is demonstrated at 3-nm technology node. The TreeFET is realized by combining nanosheet FET (NSFET) and fin-like interbridge (IB) structures. Initially, the TreeFET is compared with traditional NSFET under the same footprint (FP). The ON current (ION) and switching ratio (ION/IOFF) enhance with TreeFET by 56% and 35.4% compared to the NSFET with matched OFF current (IOFF). Further, the dimensional impact of TreeFET is studied in detail by altering the geometry of IB. On top of that, as the IB height (HIB) is a crucial metric for deciding the performance, the impact of HIB on analog/RF performance is also studied. Although the parasitic capacitance rises with higher HIB, better RF performance is observed with HIB of 30 nm compared to 10 nm due to the significant increase in ON current. Further, it is noted that the electrical performance is degraded with the rise in temperature. Moreover, the circuit level demonstration of TreeFET is carried out at both HIB of 10 nm and 30 nm for the CMOS inverter and ring oscillator (RO). The CMOS inverter switching current (ISC), power-delay product (PDP), and energy-delay product (EDP) are increased by 1.61×, 53%, and 38%, respectively with an increase in HIB. However, for 19-stage RO, an improvement of 11.55% in oscillation frequency (fOSC) is noticed with HIB of 30 nm. Moreover, the PDP and EDP variations are presented for 19-stage RO with variations in HIB. The analysis enables a profound understanding of the performance of emerging TreeFET devices at both device and circuit levels.
本文在3纳米技术节点上对新兴的新型树效应晶体管进行了全面的性能分析。树效应晶体管是由纳米片场效应晶体管(NSFET)和鳍状桥间结构(IB)相结合实现的。首先,在相同的占用空间(FP)下,将树效应场与传统的NSFET进行比较。与具有匹配OFF电流(IOFF)的NSFET相比,TreeFET的ON电流(ION)和开关比(ION/IOFF)分别提高了56%和35.4%。此外,通过改变IB的几何形状,详细研究了TreeFET的尺寸影响。除此之外,由于IB高度(HIB)是决定性能的关键指标,因此还研究了HIB对模拟/RF性能的影响。虽然寄生电容随高HIB而增加,但由于导通电流显著增加,当HIB为30 nm时,与10 nm相比,观察到更好的射频性能。此外,值得注意的是,电性能随着温度的升高而降低。此外,在10 nm和30 nm的HIB下,对CMOS逆变器和环形振荡器(RO)进行了电路级演示。随着HIB的增加,CMOS逆变器开关电流(ISC)、功率延迟积(PDP)和能量延迟积(EDP)分别增加了1.61倍、53%和38%。然而,对于19级RO,当HIB为30 nm时,振荡频率(fOSC)提高了11.55%。此外,19期RO的PDP和EDP随HIB的变化而变化。该分析能够在器件和电路级别上深刻理解新兴TreeFET器件的性能。
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引用次数: 0
On-chip Non-Blocking 4 × 4 and 8 × 8 Photonic Switches Using MMI-MZI Configuration for Next-Generation Data Center Networks 采用MMI-MZI配置的片上非阻塞4 × 4和8 × 8光子交换机用于下一代数据中心网络
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-04 DOI: 10.1109/TNANO.2025.3558256
Devendra Chack;Gaurav Kumar
The advancement of future photonic integrated circuits for data center networks relies crucially on the development of highly efficient, low-power, and compact switches. This paper presents the design of non-blocking 4 × 4 and 8 × 8 silicon photonics switches intended using Multimode Interferometer (MMI)-Mach-Zehnder interferometer (MZI) structures. These proposed switches consist of 2 × 2 MMI-MZI switches realized by changing the phase of an optical signal using the thermo-optic effect. At 1550 nm, the proposed 2 × 2 switch exhibits an insertion loss of 0.04 dB and crosstalk of < 39.95 dB. Similarly, the C-band showcases an insertion loss of < 0.06 dB and crosstalk of < −33 dB. To support complex network topologies and enhance network efficiency, a data center network necessitates a higher quantity of port switches. The results show that at 1550 nm, the insertion loss for the 4 × 4 and 8 × 8 switches is 0.47 dB and 1.02 dB, respectively. Furthermore, the insertion loss for the C-band is < 0.50 dB and < 1.5 dB, respectively. The switches exhibit crosstalk of −37.59 dB and −34.67 dB at 1550 nm, respectively. Additionally, they demonstrate crosstalk of < −30 dB for the C-band. This suggests the potential for further scalability in terms of port counts. The switches are designed using the eigenmode expansion method, and the micro heater is designed with a finite element heat transfer solver. These advantages and excellent performance make the device a promising candidate for use in advanced communication systems and photonic integrated circuits.
未来用于数据中心网络的光子集成电路的发展主要依赖于高效、低功耗和紧凑型交换机的发展。本文介绍了采用多模干涉仪(MMI)-马赫-曾德尔干涉仪(MZI)结构设计的无阻塞4 × 4和8 × 8硅光子开关。这些提议的开关由2 × 2 MMI-MZI开关组成,通过利用热光效应改变光信号的相位来实现。在1550 nm处,该2 × 2开关的插入损耗为0.04 dB,串扰< 39.95 dB。同样,c波段的插入损耗< 0.06 dB,串扰< - 33 dB。为了支持复杂的网络拓扑结构,提高网络效率,数据中心网络需要更多的端口交换机。结果表明,在1550 nm处,4 × 4和8 × 8开关的插入损耗分别为0.47 dB和1.02 dB。此外,c波段的插入损耗分别< 0.50 dB和< 1.5 dB。开关在1550 nm处的串扰分别为- 37.59 dB和- 34.67 dB。此外,它们在c波段显示了< - 30 dB的串扰。这表明在端口数量方面有进一步可伸缩性的潜力。开关采用特征模态展开法设计,微加热器采用有限元传热求解器设计。这些优点和优异的性能使该器件在先进的通信系统和光子集成电路中有很好的应用前景。
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引用次数: 0
Analysis of the Voltage Ramp Rate Effects on the Programming Characteristics of Bipolar-Type Memristive Devices 电压斜坡率对双极型记忆器件编程特性的影响分析
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-02 DOI: 10.1109/TNANO.2025.3556856
E. Miranda;E. Piros;F. L. Aguirre;T. Kim;P. Schreyer;J. Gehrunger;T. Schwarz;T. Oster;K. Hofmann;J. Suñé;C. Hochberger;L. Alff
We investigate in this letter the role the voltage ramp rate plays in the conduction and programming characteristics of bipolar-type memristive devices. It is shown that speeding up the writing or erasing process of a memristor is beneficial in terms of energy consumption but has a side cost associated with power dissipation. This happens because of the dynamical aspects of the set and reset transitions which are ultimately dictated by the physics of metal ions and oxygen vacancies migration. It is shown that by adding a constant base voltage to the voltage sweep, shorter programming times can be achieved but no significant impact on the power dissipation-energy consumption relationship is observed. Modeling and simulations are carried out with the aid of the Dynamic Memdiode Model and its implementation in LTspice using the Method of Elementary Solvers. Since the device model parameters and simulation conditions can vary in a wide range, the complete schematics are provided so that the interested readers can test different casuistries by themselves.
我们在这封信中研究了电压斜坡率在双极型记忆器件的传导和编程特性中所起的作用。结果表明,加快忆阻器的写入或擦除过程在能量消耗方面是有益的,但具有与功耗相关的附带成本。这种情况的发生是由于设定和重置转变的动力学方面,最终由金属离子和氧空位迁移的物理特性决定。结果表明,通过在电压扫描中加入一个恒定的基极电压,可以缩短编程时间,但对功耗-能耗关系没有显著影响。利用动态Memdiode模型进行建模和仿真,并利用初等求解方法在LTspice中实现该模型。由于器件模型参数和仿真条件可以在很大范围内变化,因此提供了完整的原理图,以便有兴趣的读者可以自己测试不同的神秘性。
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引用次数: 0
Development of SRAM in 3-Dimensional Stacked FET With Direct Backside Contact Beyond 1Nm Node 超1Nm节点直接后接触三维堆叠FET SRAM的研制
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-18 DOI: 10.1109/TNANO.2025.3552308
Mingyu Kim;Ilho Myeong;Jaehyun Park;Sungil Park;Deukho Yeon;Daewon Ha;Hyungcheol Shin
Among the various Backside Interconnections (BSI) methods, Direct Backside Contact (DBC) is essential in minimizing the area of logic standard cells and SRAM bitcells with 3-dimensional Stacked FETs (3DSFET) beyond the 1 nm node. Additionally, from an SRAM design perspective, the DBC structure offers the advantage of allowing the use of NMOS for the Pass-Gate (PG) transistor, as was done previously. In this study, we demonstrated SRAM transistors operation by adopting the highly promising 3DSFET with DBC structure. And we validated the SRAM bitcell operation through TCAD simulation by applying hardware verification of the SRAM transistor. As a result, we can propose an innovative structure that is compatible with both logic transistor performance and SRAM bitcell configuration beyond 1 nm node.
在各种背面互连(BSI)方法中,直接背面接触(DBC)对于最小化逻辑标准单元和SRAM位单元的面积至关重要,该单元具有超过1nm节点的三维堆叠fet (3DSFET)。此外,从SRAM设计的角度来看,DBC结构提供了允许在通栅(PG)晶体管中使用NMOS的优势,就像以前所做的那样。在本研究中,我们采用极具前景的DBC结构3DSFET来演示SRAM晶体管的工作原理。并通过对SRAM晶体管的硬件验证,通过TCAD仿真验证了SRAM的位元运算。因此,我们可以提出一种创新的结构,该结构既兼容逻辑晶体管性能,又兼容超过1nm节点的SRAM位单元配置。
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引用次数: 0
A Multi-Mode Configurable Physical Unclonable Function Based on RRAM With Adjustable Programmable Voltage 基于可编程电压可调RRAM的多模式可配置物理不可克隆功能
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-18 DOI: 10.1109/TNANO.2025.3552433
Yijun Cui;Jiang Li;Chongyan Gu;Chenghua Wang;Weiqiang Liu
Resistive random access memory (RRAM) presents a promising solution for energy-efficient logic-in-memory (LiM) systems. This paper introduces a Multi-mode Configurable Physical Unclonable Function (MC-PUF) tailored for secure RRAM-based LiM applications, utilizing a conventional one-transistor-one-RRAM (1T1R) array. The MC-PUF operates in multiple modes by modifying the programming voltages of the RRAM, which captures the distinct variations of each RRAM under varying conditions. In weak write mode, the MC-PUF exploits the inherent variations of RRAM by setting the programming voltages to achieve a 50% switching probability, thereby randomly assigning ‘0’ or ‘1’ states. In parallel competition mode, it generates responses by selecting two parallel RRAMs, with one remaining in a high resistance state (HRS) and the other switching to a low resistance state (LRS). This configuration allows the MC-PUF to generate more challenge-response pairs (CRPs) compared to conventional designs, thus enhancing security through increased entropy. The design was validated through simulations using a compact Spice model and the UMC 55 nm CMOS library, as well as on an experimental hardware platform with commercial RRAM chips. Results from both simulations and hardware implementations indicate that the proposed MC-PUF exhibits high reliability, excellent uniqueness, and superior configurability.
电阻式随机存取存储器(RRAM)为高效节能的内存逻辑(LiM)系统提供了一个很有前途的解决方案。本文介绍了一种多模式可配置物理不可克隆功能(MC-PUF),专为基于安全rram的LiM应用量身定制,利用传统的单晶体管-单rram (1T1R)阵列。MC-PUF通过修改RRAM的编程电压在多种模式下工作,从而捕获每个RRAM在不同条件下的不同变化。在弱写模式下,MC-PUF利用RRAM的固有变化,通过设置编程电压来实现50%的切换概率,从而随机分配“0”或“1”状态。在并联竞争模式下,它通过选择两个并联rram产生响应,其中一个保持高电阻状态,另一个切换到低电阻状态。与传统设计相比,这种配置允许MC-PUF产生更多的挑战响应对(crp),从而通过增加熵来增强安全性。该设计通过使用紧凑的Spice模型和UMC 55nm CMOS库以及商用RRAM芯片的实验硬件平台进行了仿真验证。仿真和硬件实现结果表明,所提出的MC-PUF具有较高的可靠性、唯一性和可配置性。
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引用次数: 0
Realization of Compact High-Performance EAM Based on Numerical Analysis of ITO, VO2 and Graphene on SiO2 Platform 基于ITO、VO2和石墨烯在SiO2平台上的数值分析实现紧凑型高性能EAM
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-18 DOI: 10.1109/TNANO.2025.3552525
Himanshu R. Das;Haraprasad Mondal;Rajeev Kumar
Plasmonic based electro-absorption modulators (EAMs) has paved the way for high-speed photonic integrated circuits (PICs). This paper demonstrates the numerical analysis and the structural design of the EAM using various plasmonic materials, such as vanadium dioxide (VO2), indium-tin-oxide (ITO) and graphene, to modulate signals traveling through the waveguide on an SiO2 platform. It also explores key performance metrics, including the extinction ratio (ER) and the figure-of-merit (FOM), which is related to the device's insertion loss (IL). By optimizing the structural parameters and utilizing the plasmonic materials, the device characteristics, especially the effective-mode-index (EMI), is modified to attain the epsilon-near-zero (ENZ) condition. The ITO-based EAM attains a high ER of 22.24 dB/μm with a FOM of 482.45, while the graphene-ITO based EAM obtains an ER of 20.31 dB/μm and a FOM of 296.06 at 1.55 μm wavelength. Both devices have an energy consumption per bit (Ebit) below 2.20 fJ/bit and modulation frequency ($f$) exceeding 1300 GHz at an IL $< $ 0.07 dB/μm. The investigated EAMs hold potential for future-generation PICs.
基于等离子体的电吸收调制器(eam)为高速光子集成电路(PICs)铺平了道路。本文演示了利用各种等离子体材料,如二氧化钒(VO2)、氧化铟锡(ITO)和石墨烯,在SiO2平台上调制通过波导的信号的数值分析和结构设计。它还探讨了关键的性能指标,包括消光比(ER)和与器件插入损耗(IL)相关的品质系数(FOM)。通过优化结构参数和利用等离子体材料,改进器件特性,特别是有效模指数(EMI),使器件达到接近零(ENZ)的状态。ito基EAM在1.55 μm波长处的ER为20.31 dB/μm, FOM为296.06,ER为22.24 dB/μm。这两种器件的每比特能耗(Ebit)低于2.20 fJ/bit,调制频率(f$)在IL $<下超过1300 GHz;$ 0.07 dB/μm。所研究的eam具有成为下一代PICs的潜力。
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引用次数: 0
Adaptive Separately Constrained Triplet Loss (A-SCTL) for High-Performance Triplet Networks 高性能三元组网络的自适应分离约束三元组损失(A-SCTL)
IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-18 DOI: 10.1109/TNANO.2025.3552233
Ziheng Wang;Farzad Niknia;Shanshan Liu;Honglan Jiang;Siting Liu;Pedro Reviriego;Jun Zhou;Fabrizio Lombardi
Triplet Networks (TNs) consist of three subchannels and are widely utilized in machine learning applications. The efficacy of TNs is highly dependent on the loss function employed during training. This paper proposes a novel loss function for TNs, referred to as the Adaptive Separately Constrained Triplet Loss (A-SCTL). The unique feature of A-SCTL is the separation of intra-class and inter-class constraints, strictly adhering to the objective of similarity-measuring networks. Its adaptive strategy leverages the dynamics between inter-class and intra-class terms to achieve a balanced convergence; without manually adjusting hyperparameters, it enhances flexibility and facilitates adaptation across various applications. Moreover, A-SCTL mitigates possible false solutions and offers insights into network behavior through the dependency of the two constraint terms. Performance metrics of the loss functions are evaluated in deep metric learning classification and face recognition tasks. Simulations illustrate the evolution of the two loss terms and the adaptive hyperparameter across training epochs; the results demonstrate that TNs utilizing A-SCTL outperform other existing loss functions in accuracy. Additionally, this paper details the hardware implementation of A-SCTL and evaluates its associated overhead. Results show that compared to other losses, the additional hardware overhead required for A-SCTL is negligible (0.008% energy per operation) when considering the entire TN system.
三重网络由三个子通道组成,广泛应用于机器学习应用。神经网络的有效性高度依赖于训练过程中使用的损失函数。本文提出了一种新的TNs损失函数,称为自适应分离约束三重态损失(a - sctl)。A-SCTL的独特之处在于分离了类内约束和类间约束,严格遵循相似性测量网络的目标。它的自适应策略利用了阶级间和阶级内术语之间的动态,以实现平衡的收敛;无需手动调整超参数,它增强了灵活性,并促进了跨各种应用程序的适应。此外,A-SCTL减少了可能的错误解决方案,并通过两个约束项的依赖性提供了对网络行为的洞察。在深度度量学习分类和人脸识别任务中评估了损失函数的性能指标。仿真说明了两个损失项和自适应超参数在训练时期的演变;结果表明,利用A-SCTL的tn在精度上优于其他现有的损失函数。此外,本文还详细介绍了A-SCTL的硬件实现,并评估了其相关开销。结果表明,与其他损失相比,在考虑整个TN系统时,A-SCTL所需的额外硬件开销可以忽略不计(每次操作0.008%的能量)。
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引用次数: 0
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IEEE Transactions on Nanotechnology
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