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A Comparative Analysis of Electrical and Optical Thermometry Techniques for AlGaN/GaN HEMTs AlGaN/GaN hemt电测与光学测温技术的比较分析
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3508656
Seokjun Kim;Daniel C. Shoemaker;Anwarul Karim;Husam Walwil;Matthew T. DeJarld;Maher B. Tahhan;Jarrod Vaillancourt;Eduardo M. Chumbes;Jeffrey R. Laroche;Georges Pavlidis;Samuel Graham;Sukwon Choi
Gallium nitride (GaN)-based radio frequency (RF) power amplifiers are spearheading the deployment of next-generation wireless systems owing to the large power handling capability at high frequencies and high-power-added efficiency. Unfortunately, this high power density operation leads to severe overheating, which reduces its lifetime and efficiency. Thus, correctly characterizing the temperature rise is of crucial importance to properly design GaN devices and cooling solutions. Optical-based thermometry techniques such as Raman thermometry and infrared (IR) thermography are commonly used to estimate the peak temperature rise, but they are limited by optical access, topside metallization, and depth averaging. Gate resistance thermometry (GRT) offers an alternative method to measure the temperature without needing optical access to the channel. Therefore, in this work, Raman thermometry is used in conjunction with GRT and electrothermal modeling to determine the accuracy of each method for a field-plated GaN high electron mobility transistor (HEMT) under various bias conditions. While both Raman thermometry and GRT measured a similar temperature rise under fully open (FO) channel conditions, it was found that GRT was better at estimating the peak temperature under a partially pinched-off (PPO) bias condition due to the source-connected field plate (SCFP) restricting optical access to the drain side of the gate edge.
基于氮化镓(GaN)的射频(RF)功率放大器因其在高频下的大功率处理能力和高功率附加效率而引领下一代无线系统的部署。不幸的是,这种高功率密度操作会导致严重的过热,从而降低其使用寿命和效率。因此,正确表征温度上升对GaN器件和冷却解决方案的正确设计至关重要。基于光学的测温技术,如拉曼测温和红外(IR)热像仪,通常用于估计峰值温升,但它们受到光学通道、上层金属化和深度平均的限制。栅极电阻测温(GRT)提供了一种替代方法来测量温度,而不需要光学通道访问。因此,在这项工作中,拉曼测温与GRT和电热建模结合使用,以确定在各种偏置条件下场镀GaN高电子迁移率晶体管(HEMT)的每种方法的准确性。虽然拉曼测温和GRT在完全打开(FO)通道条件下测量到相似的温升,但发现GRT在部分掐断(PPO)偏置条件下更好地估计峰值温度,这是由于源连接的场板(SCFP)限制了光进入栅极边缘的漏极侧。
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引用次数: 0
Comparison of Two Noise Equivalent Circuit Models for GaAs and InP High-Electron-Mobility Transistors GaAs和InP高电子迁移率晶体管两种噪声等效电路模型的比较
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3508670
Ao Zhang;Jianjun Gao
This article presented a novel approach for the modeling of noise behavior for GaAs and InP high-electron-mobility transistors (HEMTs). Closed-form expressions for minimum noise figure ${F}_{min } $ , noise resistance ${R}_{n} $ , optimum source conductance ${G}_{text {opt}} $ , and optimum source susceptance ${B}_{text {opt}} $ based on the noise equivalent circuit model are derived. The model is verified by measurements of the four noise parameters of a GaAs HEMT up to 26 GHz and an InP HEMT up to 40 GHz. The W-band low noise amplifier (LNA) is designed to validate the noise model for HEMT.
本文提出了一种新的方法来模拟GaAs和InP高电子迁移率晶体管(hemt)的噪声行为。推导了基于噪声等效电路模型的最小噪声系数${F}_{min} $、噪声阻力${R}_{n} $、最佳源电导${G}_{text {opt}} $和最佳源电纳${B}_{text {opt}} $的封闭表达式。通过测量高达26 GHz的GaAs HEMT和高达40 GHz的InP HEMT的四个噪声参数,验证了该模型的有效性。设计了w波段低噪声放大器(LNA)来验证HEMT的噪声模型。
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引用次数: 0
Wide Bandwidth, High Power Radio Frequency Limiter Based on Lanthanum Cobalt Oxide on SiC 基于SiC上氧化镧的宽带高功率射频限频器
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3506500
Rajashree Bhattacharya
The insulator-to-metal phase transition oxides offer an opportunity to overcome the current constraints in RF limiter technology. In this article, we present shunt power limiters based on sputtered lanthanum cobalt oxide (LaCoO3, LCO) on silicon carbide substrate. The LCO limiters presented in this article achieve limiting behavior over the broadest temperature range ever reported for an insulator to metal transition (IMT) material-based RF switch, from 10 °C to 225 °C. At 2 GHz, the power limiter provides <1-dB insertion loss up to 75 °C, resilience up to 40 dBm, and leakage power of 20 dBm. S-parameter testing was conducted from 0.1 to 50 GHz, verifying the broadband viability of LCO microwave devices. We present low small signal losses at high temperature and frequency, with a maximum insertion loss of 1.15 dB at 125 °C and 50 GHz. Finally, we report on a 3-D multiphysics model that accurately predicts the LCO RF device behavior and can be used for further device optimization.
绝缘体到金属的相变氧化物为克服目前射频限制器技术的限制提供了一个机会。在本文中,我们提出了基于碳化硅衬底上溅射氧化镧(LaCoO3, LCO)的并联功率限制器。本文中介绍的LCO限制器在迄今为止报道的基于绝缘体到金属过渡(IMT)材料的射频开关的最宽温度范围(从10°C到225°C)内实现了限制行为。在2ghz时,功率限制器在75°C下提供< 1db的插入损耗,弹性高达40dbm,泄漏功率为20dbm。在0.1 ~ 50 GHz范围内进行s参数测试,验证了LCO微波器件的宽带可行性。我们在高温和高频率下提供低小信号损耗,在125°C和50 GHz时最大插入损耗为1.15 dB。最后,我们报告了一个三维多物理场模型,该模型可以准确地预测LCO射频器件的行为,并可用于进一步的器件优化。
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引用次数: 0
Multistates and Ultralow-Power Ferroelectric Tunnel Junction by Inserting Al₂O₃ Interlayer 嵌入Al₂O₃夹层的多态超低功率铁电隧道结
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3503533
Yefan Zhang;Shihao Yu;Peng Yang;Xiaopeng Luo;Hui Xu;Xi Wang;Haijun Liu;Sen Liu;Qingjiang Li
In this article, we have designed an optimized ferroelectric tunnel junction (FTJ) device structure that inserts 3-nm Al2O3 between Hf0.5Zr0.5O2 (HZO) films. The Al2O3 interlayer can block the longitudinal growth of HZO grains and increase the number of ferroelectric domains. Therefore, the FTJ devices with Al2O3 interlayer demonstrate amazing multilevel states (256) and ultralow computational power consumption (76.1 pW/bit). In addition, the proposed FTJ device shows high linearity ( $alpha _{text {p}} = -1.262$ ), wide modulation capability, and good reproducibility. The results indicate that the device has high potential in energy-efficient brain-like computing application.
在本文中,我们设计了一种优化的铁电隧道结(FTJ)器件结构,该结构在Hf0.5Zr0.5O2 (HZO)薄膜之间插入3nm的Al2O3。Al2O3中间层阻断了HZO晶粒的纵向生长,增加了铁电畴的数量。因此,具有Al2O3中间层的FTJ器件表现出惊人的多能级状态(256)和超低的计算功耗(76.1 pW/bit)。此外,所提出的FTJ器件具有高线性度($alpha _{text {p}} = -1.262$)、宽调制能力和良好的再现性。结果表明,该器件在高效能类脑计算应用中具有很高的潜力。
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引用次数: 0
Laser Micromachining of 2-D Microstrip V-Band Meander-Line Slow Wave Structures 二维微带v波段弯曲线慢波结构的激光微加工
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3507759
Dmitrii A. Nozhkin;Andrei V. Starodubov;Roman A. Torgashov;Viktor V. Galushka;Ilya O. Kozhevnikov;Alexey A. Serdobintsev;Alexey D. Lebedev;Anton A. Kozyrev;Nikita M. Ryskin
Vacuum electron devices operating at sub-THz frequencies require miniaturized high-frequency electromagnetic interaction structures manufactured using high-precision micromachining technologies. In this article, we present the results of microfabrication of 2-D planar microstrip periodic slow wave structures (SWSs) on dielectric substrate using magnetron sputtering and laser micromachining. A multistage optimized process that allows a substantial improvement of the fabrication accuracy is presented and discussed in detail. A batch of V-band meander-line SWS circuits is fabricated. Characterization of the fabricated structures by optical microscopy and scanning electron microscopy (SEM) demonstrates dimensional deviation less than $5~mu $ m. Experimental investigation of cold-test electromagnetic parameters shows good transmission and reflection characteristics.
在次太赫兹频率下工作的真空电子器件需要使用高精度微加工技术制造的小型化高频电磁相互作用结构。本文介绍了利用磁控溅射和激光微加工技术在介质衬底上微加工二维平面微带周期性慢波结构的研究结果。提出并详细讨论了一种可大幅度提高加工精度的多阶段优化工艺。制作了一批v波段弯曲线SWS电路。通过光学显微镜和扫描电子显微镜(SEM)对制备的结构进行了表征,尺寸偏差小于$5~mu $ m,冷试电磁参数的实验研究显示出良好的透射和反射特性。
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引用次数: 0
A Novel Approach to Integrating Thermal Performance and Total Ionizing Dose Hardening in Void-Embedded Silicon-on-Insulator MOSFET 一种集成空嵌式绝缘体上硅MOSFET热性能和总电离剂量硬化的新方法
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3506504
Jin Chen;Qiang Liu;Yuxin Liu;Zhiqiang Mu;Xing Wei;Wenjie Yu
The excellent tolerance against total ionizing dose (TID) effect and high compatibility with conventional technology nodes has been demonstrated in our previous work with void-embedded-silicon-on-insulator (VESOI) device. However, the presence of embedded void structures within the VESOI devices also introduces additional thermal performance challenges. To address this issue while maintaining the exceptional TID tolerance, we conducted a comprehensive study on the role played by embedded void in blocking both thermal conduction and radiation induced leakage path. Through both pulse I–V tests and systematic simulations, we have revealed the close relationship between the heat sinking capability of VESOI devices and the embedded voids with different structures and dimensions. By applying a nanoscale-embedded chamber extending into the middle channel of VESOI MOSFET, the increase of temperature in the channel is suppressed to a rather low level of 0.3 K. Furthermore, the nano void chamber is also found effective in cutting off radiation-induced leakage paths lying near the bottom channel, resulting in a reduction of the leakage current to $10^{-{11}}~mu $ A/ $mu $ m. This study paves the way for developing more robust and efficient devices based on VESOI technology that can maintain better thermal performance along with TID robustness.
在我们之前的研究中,我们已经证明了该器件对总电离剂量(TID)效应的良好耐受性和与传统技术节点的高兼容性。然而,VESOI器件中嵌入空隙结构的存在也带来了额外的热性能挑战。为了解决这一问题,同时保持特殊的TID容限,我们对嵌入空隙在阻断热传导和辐射诱导泄漏路径中的作用进行了全面的研究。通过脉冲I-V测试和系统模拟,揭示了不同结构和尺寸的嵌入孔洞与VESOI器件的散热能力密切相关。通过在VESOI MOSFET的中间通道中加入纳米级嵌入腔,将通道内的温度升高抑制在0.3 K的较低水平。此外,纳米空腔还被发现可以有效地切断位于底部通道附近的辐射引起的泄漏路径,从而将泄漏电流降低到$10^{-{11}}~mu $ a / $mu $ m。该研究为开发基于VESOI技术的更坚固高效的器件铺平了道路,该器件可以保持更好的热性能和TID鲁棒性。
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引用次数: 0
Design Space and Variability Analysis of SOI MOSFET for Ultralow-Power Band-to-Band Tunneling Neurons 超低功率带对带隧道神经元SOI MOSFET的设计空间与可变性分析
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3507758
Jay Sonawane;Shubham Patil;Abhishek Kadam;Ajay Kumar Singh;Sandip Lashkare;Veeresh Deshpande;Udayan Ganguly
Large spiking neural networks (SNNs) require ultralow power and low variability hardware for neuromorphic computing applications. Recently, a band-to-band tunneling (BTBT)-based integrator was proposed, enabling the sub-kHz operation of neurons with area and energy efficiency. For an ultralow-power implementation of such neurons, a very low BTBT current is needed, so minimizing current without degrading neuronal properties is essential. Low variability is needed in the ultralow current integrator to avoid network performance degradation in a large BTBT neuron-based SNN. This work addresses device optimization to achieve low BTBT current. We conducted design space and variability analysis in technology computer-aided design (TCAD), utilizing a well-calibrated TCAD deck with experimental data from GlobalFoundries (GFs) 32 nm partially depleted silicon-on-insulator (PD-SOI) MOSFET. First, we discuss the physics-based explanation of the tunneling mechanism. Second, we explore the impact of device design parameters on SOI MOSFET performance, highlighting parameter sensitivities to tunneling current. With device parameters’ optimization, we demonstrate a $sim 20times $ reduction in BTBT current compared to the experimental data. Finally, a variability analysis that includes the effects of random dopant fluctuations (RDFs), oxide thickness variation (OTV), and channel-oxide interface traps ( ${D} _{text {IT}}$ ) in the BTBT, subthreshold (SS), and ON regimes of operation is shown. The BTBT regime shows the highest sensitivity to OTV, with variability increasing by up to $25times $ compared to the SS regime. In contrast, RDF and ${D} _{text {IT}}$ variability resulted in a $1.25times $ to $sim 10times $ lower coefficient of variation (CV) in the BTBT regime than in the SS regime, indicating better resilience to these sources of variability. The study provides essential design guidelines to enable energy-efficient neuromorphic computing, achieving biologically plausible sub-kHz spiking frequencies.
大型峰值神经网络(snn)需要超低功耗和低可变性的硬件来实现神经形态计算应用。最近,提出了一种基于带到带隧道(BTBT)的积分器,使神经元的亚khz操作具有面积和能量效率。对于这种神经元的超低功耗实现,需要非常低的BTBT电流,因此在不降低神经元特性的情况下最小化电流是必不可少的。在基于BTBT神经元的大型SNN中,超低电流积分器需要低变异性以避免网络性能下降。这项工作解决了器件优化,以实现低BTBT电流。我们在计算机辅助设计(TCAD)技术中进行了设计空间和可变性分析,利用经过校准的TCAD平台和来自GlobalFoundries (GFs) 32纳米部分耗尽绝缘体上硅(PD-SOI) MOSFET的实验数据。首先,我们讨论了隧穿机制的物理解释。其次,我们探讨了器件设计参数对SOI MOSFET性能的影响,重点介绍了参数对隧道电流的敏感性。通过对器件参数的优化,我们证明了与实验数据相比,BTBT电流降低了20倍。最后,对随机掺杂波动(RDFs)、氧化物厚度变化(OTV)和通道-氧化物界面陷阱(${D} _{text {IT}}$)在BTBT、亚阈值(SS)和ON运行模式下的影响进行了变异性分析。BTBT体系对OTV表现出最高的敏感性,与SS体系相比,其变异性增加了高达25倍。相比之下,RDF和${D} _{text}}$可变性导致BTBT体系的变异系数(CV)比SS体系低1.25倍至10倍,表明BTBT体系对这些变异源有更好的恢复能力。该研究为实现节能的神经形态计算提供了基本的设计指南,实现了生物学上合理的亚千赫峰值频率。
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引用次数: 0
Optimizing Memory Window for Ferroelectric Nand Applications: An Experimental Study on Dielectric Material Selection and Layer Positioning 优化铁电Nand存储窗口:介电材料选择和层定位的实验研究
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-05 DOI: 10.1109/TED.2024.3504475
Lance Fernandes;Prasanna Venkatesan Ravindran;Jiayi Chen;Mengkun Tian;Dipjyoti Das;Hang Chen;Winston Chern;Kijoon Kim;Jongho Woo;Suhwan Lim;Kwangsoo Kim;Wanki Kim;Daewon Ha;Shimeng Yu;Suman Datta;Asif Khan
We present an experimental study optimizing a band-engineered gate-stack by incorporating both a tunnel dielectric layer (TDL) and a gate blocking layer (GBL) for ferroelectric (FE) nand flash applications, with a total thickness budget of 18 nm. Using Hf $_{{0}.{5}}$ Zr $_{{0}.{5}}$ O2 (HZO) as the FE material, we explore Al2O3, SiO2, Si3N4, and HfO2 as TDL and GBL materials. By systematically varying the location and thickness of each layer, we investigate their impact on memory window (MW) performance. Our results show that material choice and positioning within the gate-stack are critical, even with constant overall thickness. A hybrid stack using 2-nm Al2O3 and 4-nm SiO2 as TDL and GBL, respectively, results in a maximum MW of 11 V. When Al2O3 and SiO2 are positioned as GBL above the HZO layer, the MW is slightly reduced (>7.5 V), with an increased tetragonal phase. Conversely, MW is significantly reduced when Al2O3 and SiO2 are used as GBL and TDL, respectively, or when both are used as TDL. Further exploration using SiO2, Si3N4, and HfO2 as TDL materials with an SiO2 GBL shows that HfO2 and SiO2 as TDL lead to quad-level cell (QLC)-compatible MW, whereas Si3N4 as TDL leads to very low MW. HfO2 as TDL material leads to most optimized gate-stack with QLC compatibility and lowest operating voltage of all materials. This study underscores the importance of dielectric (DE) material selection and layer positioning within the gate-stack in optimizing the MW of hybrid gate-stacks.
我们提出了一项实验研究,通过结合隧道介电层(TDL)和栅极阻挡层(GBL)来优化用于铁电(FE) nand闪存应用的带工程栅极堆栈,总厚度预算为18 nm。使用Hf $_{{0}。{0}}$ Zr $ {{0};{5}}$ O2 (HZO)作为FE材料,我们探索了Al2O3, SiO2, Si3N4和HfO2作为TDL和GBL材料。通过系统地改变每层的位置和厚度,我们研究了它们对记忆窗(MW)性能的影响。我们的研究结果表明,即使在总厚度不变的情况下,材料选择和栅堆内的定位也是至关重要的。采用2nm Al2O3和4nm SiO2分别作为TDL和GBL的混合堆叠,最大MW为11v。当Al2O3和SiO2处于HZO层上方的GBL位置时,随着四方相的增加,MW略有降低(>7.5 V)。相反,当Al2O3和SiO2分别作为GBL和TDL,或两者都作为TDL时,MW显著降低。进一步探索使用SiO2、Si3N4和HfO2作为TDL材料的SiO2 GBL,表明HfO2和SiO2作为TDL可以获得四能级电池(QLC)兼容的MW,而Si3N4作为TDL导致的MW非常低。在所有材料中,HfO2作为TDL材料具有最优的栅极堆,具有QLC兼容性和最低的工作电压。本研究强调了介电材料的选择和栅极堆内的层位在优化混合栅极堆的毫瓦时的重要性。
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引用次数: 0
RRAM-Based Single Device for Vector Multiplication and Multibit Storage With Ultrahigh Area Efficiency 基于rram的矢量乘法和超高面积效率的多比特存储单器件
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-04 DOI: 10.1109/TED.2024.3508666
Yang Shen;Zhoujie Pan;Mengge Jin;Jintian Gao;Yabin Sun;He Tian;Tian-Ling Ren
Considering that Von Neumann architecture has bottlenecks in both speed and power consumption, in-memory computation is a promising solution. The in-memory computation needs to be carried out in an array composed of storage units, which can be resistive random access memory (RRAM). When using RRAMs, the data storage density can be increased by taking advantage of their multiresistive state characteristics. However, the lack of reliability is a common problem of RRAM, and it is difficult to realize high long range cyclic characteristics purely from the principle. In this work, a new 3-D device based on RRAM is proposed, which is able to realize 2-bit vector multiplication and multibit storage. Analysis and SPICE simulation are conducted to validate the feasibility. The proposed device does not need to join the write-checking process and can greatly promote the improvement of area, storage density, and operation speed, providing a new route for the future in-memory computing. Compared to traditional CMOS circuits used for vector multiplication, our proposed device can achieve 93.75% reduction in terms of number of devices.
考虑到Von Neumann架构在速度和功耗方面都存在瓶颈,内存计算是一个很有前途的解决方案。内存计算需要在由存储单元组成的阵列中进行,这些存储单元可以是电阻式随机存取存储器(RRAM)。当使用rram时,可以利用其多阻状态特性来提高数据存储密度。然而,可靠性不足是RRAM的通病,单纯从原理上实现高长距离循环特性是很困难的。本文提出了一种新的基于RRAM的三维器件,该器件能够实现2位矢量乘法和多位存储。通过分析和SPICE仿真验证了该方法的可行性。该器件不需要加入写检查过程,可以极大地促进面积、存储密度和操作速度的提高,为未来的内存计算提供了新的途径。与用于矢量乘法的传统CMOS电路相比,我们提出的器件在器件数量方面可以减少93.75%。
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引用次数: 0
Thank You to our Reviewers and Editors! 感谢我们的审稿人和编辑!
IF 2.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-12-04 DOI: 10.1109/TED.2024.3499192
Patrick Fay
{"title":"Thank You to our Reviewers and Editors!","authors":"Patrick Fay","doi":"10.1109/TED.2024.3499192","DOIUrl":"https://doi.org/10.1109/TED.2024.3499192","url":null,"abstract":"","PeriodicalId":13092,"journal":{"name":"IEEE Transactions on Electron Devices","volume":"71 12","pages":"7226-7229"},"PeriodicalIF":2.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10778117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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IEEE Transactions on Electron Devices
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