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Impact of the Schottky Barrier Height on the Carrier Velocity Overshoot Behaviors in SOI nMOSFETs With Metal Source/Drain 肖特基势垒高度对金属源漏型SOI nmosfet载流子速度超调行为的影响
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-15 DOI: 10.1109/JEDS.2025.3569242
Rui Su;Yan Jing;Xinyi Zhang;Yi Jiang;Dawei Gao;Walter Schwarzenbach;Bich-Yen Nguyen;Junkang Li;John Robertson;Rui Zhang
The ballistic transport behaviors of SOI nMOSFETs with NiSi metal source/drain (S/D) have been investigated. It is found that the suppression of Schottky barrier height for holes results in an improvement of carrier injection velocity (vinj), attributable to the increased electrical field at the source edge. As a result, the electron injection velocity (vinj) of $1.77times 10{^{{7}}}$ cm/s has been realized at the lateral electrical field of 1 MV/cm for the SOI nMOSFETs with a S/D Schottky barrier height of 0.71 eV. These results suggest that the metal S/D structure is feasible to boost the performance of ultimately scaled SOI devices.
研究了具有NiSi金属源/漏极(S/D)的SOI nmosfet的弹道输运行为。研究发现,抑制空穴的肖特基势垒高度导致载流子注入速度(vinj)的提高,这是由于源边缘电场的增加。结果表明,对于s /D肖特基势垒高度为0.71 eV的SOI nmosfet,在1 MV/cm的横向电场下,电子注入速度(vinj)为1.77 × 10{^{{7}}}$ cm/s。这些结果表明,金属S/D结构对于提高最终规模化SOI器件的性能是可行的。
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引用次数: 0
High Power Added Efficiency Enhancement-Mode Γ-Gate RF HEMT With High/Low p-GaN Doping Profile 高功率附加效率增强模式Γ-Gate高/低p-GaN掺杂的RF HEMT
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-14 DOI: 10.1109/JEDS.2025.3551313
Hsien-Chin Chiu;Chong-Rong Huang;Chia-Han Lin;Chia-Hao Yu;Hsuan-Ling Kao;Shinn-Yn Lin;Barry Lin
$0.5~mu $ m enhancement-mode (E-mode) p-GaN $Gamma $ -gate RF HEMT with engineered Mg doping profile in p-GaN layer was studied for high power amplifier application. With high/low Mg doping profile design in p-GaN, the traditional Ti/p-GaN Schottky gate behavior can be transformed to ohmic-gate after 550°C 3 minutes post-gate annealing. The ohmic-gate design of p-GaN HEMT can minimize poole-frenkel (PF) emission thus the flicker noise and current collapse (C.C) can be improved. A better gate-to-channel modulation ability is also obtained due to precipitous C-VG curve of low Mg ( $1times 10{^{{19}}}$ cm-3) doping concentration p-GaN layer. The fabricated device achieves a threshold voltage (VTH) of +1.1 V, and shows a low on-resistance (RON) of $1.8~Omega cdot $ mm and an off-state breakdown voltage of 206 V. With the engineered Mg doping profile design, a 70% PAE is achieved together with an output power density of 1W/mm at VDS of 10V.
$0.5~mu $ 研究了在p-GaN层中掺杂工程Mg谱线的m增强模式(e模式)p-GaN $Gamma $门射频HEMT在高功率放大器中的应用。在p-GaN中采用高/低Mg掺杂设计,经过550℃3分钟的栅极退火后,传统的Ti/p-GaN肖特基栅极行为可以转变为欧姆栅极。p-GaN HEMT的欧姆栅极设计可以最大限度地减少池-峰峰(PF)发射,从而改善闪变噪声和电流崩溃(C.C)。由于低Mg ($1times 10{^{{19}}}$ cm-3)掺杂浓度的p-GaN层具有陡峭的C-VG曲线,因此具有较好的门到通道调制能力。该器件的阈值电压(VTH)为+1.1 V,导通电阻(RON)低至$1.8~Omega cdot $ mm,断态击穿电压为206v。采用工程Mg掺杂剖面设计,70% PAE is achieved together with an output power density of 1W/mm at VDS of 10V.
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引用次数: 0
Optimize Gate-All-Around Devices Using Wide Neural Network-Enhanced Bayesian Optimization 基于广义神经网络增强贝叶斯优化的全门器件优化
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-13 DOI: 10.1109/JEDS.2025.3569528
Jiaye Shen;Zhiqiang Li;Zhenjie Yao
Device design processes based on manual design experience require numerous experiments and simulations. As transistors continue to shrink, complex physical effects, such as quantum effects intensify, making the design process increasingly costly, whether based on experiments or technology computer-assisted design (TCAD) simulations. To reduce the experimental and simulation resources consumed during the design process, we propose a device optimization framework based on neural network-enhanced Bayesian Optimization (BO). We target two Figures of Merit (FoMs) of Nanowire field-effect transistor (NWFET) devices as optimization objectives: subthreshold swing (SS) and on-state current (Ion). By improving the neural network to better fit the nonlinear mapping between the objective functions and input parameters, we effectively optimize device parameters while reducing the number of TCAD simulations. Experimental results show that compared to Bayesian optimization frameworks based on Gaussian Process (GP), Random Forest (RF) and Deep Networks for Global Optimization (DNGO), our neural network-based Bayesian optimization framework reduced the number of iterations by 19.3%, 42.7% and 60.3%, respectively.
基于手工设计经验的设备设计过程需要大量的实验和模拟。随着晶体管不断缩小,复杂的物理效应,如量子效应加剧,使得设计过程越来越昂贵,无论是基于实验还是技术计算机辅助设计(TCAD)模拟。为了减少设计过程中消耗的实验和仿真资源,我们提出了一种基于神经网络增强贝叶斯优化(BO)的器件优化框架。我们以纳米线场效应晶体管(NWFET)器件的两个性能指标(FoMs)为优化目标:亚阈值摆幅(SS)和导通电流(Ion)。通过改进神经网络以更好地拟合目标函数与输入参数之间的非线性映射,在减少TCAD仿真次数的同时,有效地优化了器件参数。实验结果表明,与基于高斯过程(GP)、随机森林(RF)和深度网络全局优化(DNGO)的贝叶斯优化框架相比,基于神经网络的贝叶斯优化框架的迭代次数分别减少了19.3%、42.7%和60.3%。
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引用次数: 0
Aging Analysis and Degradation Prediction of PLL Circuits in 14-nm FinFET Technology 14nm FinFET技术锁相环电路老化分析及退化预测
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-11 DOI: 10.1109/JEDS.2025.3549754
Meng Li;Xin Xu;Xianghui Li;Yunpeng Li;Yiqun Shi;Qingqing Sun;Hao Zhu
This work investigates the reliability and aging predictions in a 14-nm FinFET-based analog circuit under high-temperature conditions. Aging simulations and accelerated aging tests were carried out on key devices of phase-locked loop (PLL) circuits, with a focus on the time-power-law exponent (n) of $Delta $ Vth and temperature activation energy. A coupling phenomenon between hot-carrier injection (HCI) and negative bias temperature instability (NBTI) effects has been found at elevated temperatures, where HCI-induced self-heating effect (SHE) exacerbated the NBTI effects. Device degradation was found to be closely related to the waveform, frequency, and operating temperature. The quasi-static-approximation (QSA) model built with DC stress test data, was employed for device and circuit degradation predictions, and its limitations and applicability were discussed. Additionally, based on AC test data, the QSA model was used to simulate corrections for device and circuit degradation at corresponding frequencies. The results revealed over-predictions of degradation level by a time factor over 10.
本文研究了高温条件下14nm基于finfet的模拟电路的可靠性和老化预测。对锁相环(PLL)电路的关键器件进行了老化仿真和加速老化试验,重点研究了锁相环(PLL)电路的时间幂律指数(n)和温度激活能。高温下,热载流子注入(HCI)与负偏置温度不稳定性(NBTI)效应之间存在耦合现象,其中HCI诱导的自热效应(SHE)加剧了NBTI效应。器件退化与波形、频率和工作温度密切相关。利用直流应力测试数据建立了准静态近似(QSA)模型,用于器件和电路的退化预测,并讨论了该模型的局限性和适用性。此外,基于交流测试数据,采用QSA模型模拟相应频率下器件和电路退化的校正。结果显示对退化程度的过度预测超过了10倍。
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引用次数: 0
Hot Carrier Degradation in Si n-MOSFETs at Cryogenic Temperatures 低温下Si - n- mosfet的热载流子降解
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-11 DOI: 10.1109/JEDS.2025.3550268
Shunsuke Shitakata;Hiroshi Oka;Kimihiko Kato;Takumi Inaba;Shota Iizuka;Hidehiro Asai;Takahiro Mori
This study experimentally investigated hot carrier degradation (HCD) in Si-MOSFETs at cryogenic temperatures. Stress was applied to the devices at 4 K and 300 K, followed by temperature-dependent characterization from 4 K to 300 K to evaluate the degradation mechanism. The results indicated that at 4 K, the effect of HCD on current-voltage characteristics is attributable to band-edge states, whereas at 300 K, it is primarily due to deep states. Despite the temperature at which HCD occurred, both states are induced simultaneously by hot carriers. Deuterium termination of dangling bonds mitigates HCD even at 4 K, where degradation is caused by band-edge states. These results suggest that the band-edge states and deep states should be considered in conjunction, rather than in isolation, to fully understand the degradation behavior.
实验研究了低温下si - mosfet的热载流子降解(HCD)。在4 K和300 K下对器件施加应力,然后在4 K到300 K之间进行温度相关表征,以评估降解机制。结果表明,在4 K时,HCD对电流电压特性的影响主要归因于带边状态,而在300 K时,HCD对电流电压特性的影响主要归因于深态。尽管HCD发生的温度很高,但两种状态都是由热载流子同时诱导的。悬空键的氘终止即使在4 K时也会减轻HCD,其中由带边状态引起的降解。这些结果表明,为了充分理解材料的退化行为,应将带边态和深态结合起来考虑,而不是单独考虑。
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引用次数: 0
Enhancement of Near-Infrared Sensitivity in Silicon-Based Image Sensors to Oblique Chief Rays via Quasi-Surface Plasmon Resonance 准表面等离子体共振增强硅基图像传感器对斜主射线的近红外灵敏度
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-10 DOI: 10.1109/JEDS.2025.3549721
Koya Okazaki;Takahito Yoshinaga;Nobukazu Teranishi;Atsushi Ono
A silicon-based image sensor is proposed, incorporating plasmonic diffraction gratings tailored to chief ray angles (CRAs), to enhance near-infrared (NIR) sensitivity improvement over a broad range of incident angles. Under quasi-surface plasmon resonance (quasi-SPR) conditions, the metal grating efficiently diffracted incident light into the silicon absorption layer. The period and width of the metal grating were adjusted at each pixel position according to CRAs, thereby improving the NIR sensitivity at sensor edges. The plasmonically diffracted light with angled chief ray was confined within the pixel photodiode. The photon confinement resulted in a significant improvement in absorption of approximately 37% or more, within an incident angle range of 30 degrees at a NIR wavelength of 940 nm and a silicon thickness of 3 μm. The improvement in NIR absorption over a broad incident angle range enhances the sensitivity of the entire sensor chip, representing a significant advancement for NIR cameras.
提出了一种基于硅的图像传感器,结合了适合主射线角(CRAs)的等离子体衍射光栅,以提高近红外(NIR)在大入射角范围内的灵敏度。在准表面等离子体共振(准spr)条件下,金属光栅有效地将入射光衍射到硅吸收层中。在每个像元位置根据CRAs调整金属光栅的周期和宽度,从而提高传感器边缘的近红外灵敏度。带角度主射线的等离子体衍射光被限制在像素级光电二极管内。当入射角度为30度时,在940 nm的近红外波长和3 μm的硅厚度下,光子约束导致了大约37%或更多的吸收改善。在宽入射角范围内,近红外吸收的改善提高了整个传感器芯片的灵敏度,代表了近红外相机的重大进步。
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引用次数: 0
Understanding Frequency Dependence of Trap Generation Under AC Positive Bias Temperature Instability Stress in Si n-FinFETs 了解Si - n- finet在交流正偏置温度不稳定应力下产生陷阱的频率依赖性
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-09 DOI: 10.1109/JEDS.2025.3567049
Yunfei Shi;Hao Chang;Hong Yang;Qiangzhu Zhang;Qianqian Liu;Bo Tang;Longda Zhou;Zhigang Ji;Junjie Li;Xiaobin He;Junfeng Li;Huaxiang Yin;Xiaolei Wang;Jun Luo;Wenwu Wang
In this paper, the frequency (f) dependence of trap generation in Si n-channel fin field-effect transistors (n-FinFETs) under AC positive bias temperature instability (PBTI) stress is investigated by fast direct-current current-voltage (DCIV) method and the discharging-based multi-pulse energy profiling (DMP) technique. The experimental results show that both interface trap generation ( $Delta $ NIT) and bulk trap generation ( $Delta $ NOT) of n-FinFET under AC PBTI stress are almost independent of the AC frequency. However, further analysis shows that $Delta $ NOT consists of shallow traps near EC of Si and deep traps near Ev of Si. Moreover, about 22% of deep traps decrease with shallow traps increasing under 1.4V overdrive voltage (Vov) at 125°C with AC bias frequency increasing from 10 Hz to 1 MHz.
本文采用快速直流-电压(DCIV)方法和基于放电的多脉冲能量谱(DMP)技术研究了交流正偏置温度不稳定性(PBTI)应力下Si n沟道场效应晶体管(n- finfet)中陷阱产生的频率(f)依赖性。实验结果表明,在交流PBTI应力下,n-FinFET的界面陷阱产生($Delta $ NIT)和体陷阱产生($Delta $ NOT)几乎与交流频率无关。然而,进一步分析表明,$Delta $ NOT由Si的EC附近的浅圈闭和Si的Ev附近的深圈闭组成。此外,在125°C下,当交流偏置频率从10 Hz增加到1 MHz时,1.4V的过驱动电压(Vov)下,约22%的深陷阱减少,浅陷阱增加。
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引用次数: 0
Thermal Characteristics Enhancement of Drain-Extended FinFETs for System on Chip Applications With Dual High-k Field Plates 双高k场极板用于片上系统应用的漏极扩展finfet的热特性增强
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-06 DOI: 10.1109/JEDS.2025.3548595
Yeonsil Yang;Jongmin Lee;Jang Hyun Kim
In this paper, we analyze the electrical and thermal characteristics through Drain-Extended Fin Field-effect Transistor (DeFinFET) using separated high-k field plates. In this article, we first compare the structure using silicon dioxide (SiO2) as the field plate near the drain with that using aluminum oxide (Al2O3). The maximum lattice temperature ( $T_{max}$ ) in the hafnium oxide (HfO2)/SiO2 structure is 391.953 K under the same current condition, whereas $T_{max}$ is reduced to 360.941 K in the HfO2/Al2O3 structure, indicating improved thermal management. Similarly, the thermal resistance $(R_th)$ is reduced by 8.73% in the Al2O3 based structure, indicating improved thermal characteristics. Heat flux analysis results show that 60.1% of the generated heat is dissipated through the extended drain region, which identifies the heat dissipation path of the device. And when the length of the Al2O3 field plate in the HfO2/Al2O3 structure was changed to 20 nm, 40 nm, 60 nm, and 80 nm, the $R_{mathrm{th}}$ of the 80 nm configuration was found to achieve the best thermal performance with a thermal resistance of 217.091 μm · K/mW. In addition, in this structure, the drain current reduction rate due to SHE was the lowest at 12.1%, and excellent breakdown voltage $(V_{mathrm{BD}})$ was derived because the electric field was not concentrated at the field plate junction near the drain. Consequently, the proposed device has potential application to high voltage (HV) System on Chip (SoC).
本文分析了使用分离式高 K 场板的漏极扩展鳍式场效应晶体管 (DeFinFET) 的电气和热特性。本文首先比较了使用二氧化硅(SiO2)作为漏极附近场板的结构和使用氧化铝(Al2O3)的结构。在相同的电流条件下,氧化铪(HfO2)/二氧化硅结构的最大晶格温度($T_{max}$)为 391.953 K,而 HfO2/Al2O3 结构的最大晶格温度($T_{max}$)则降至 360.941 K,这表明热管理得到了改善。同样,在基于 Al2O3 的结构中,热阻 $(R_th)$ 降低了 8.73%,表明热特性得到了改善。热通量分析结果表明,60.1% 的热量通过扩展漏极区域散失,这确定了器件的散热路径。当 HfO2/Al2O3 结构中 Al2O3 场板的长度分别变为 20 nm、40 nm、60 nm 和 80 nm 时,发现 80 nm 配置的 $R_{mathrm{th}}$ 热阻为 217.091 μm - K/mW,热性能最佳。此外,在这种结构中,由于 SHE 导致的漏极电流降低率最低,仅为 12.1%,而且由于电场没有集中在漏极附近的场板结,因此获得了出色的击穿电压 $(V_{mrm{BD}}$。因此,该器件有望应用于高电压 (HV) 片上系统 (SoC)。
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引用次数: 0
Real-Time ESD Monitoring and Control in Semiconductor Manufacturing Environments With Silicon Chip of ESD Event Detection 半导体制造环境中基于ESD事件检测芯片的ESD实时监测与控制
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-06 DOI: 10.1109/JEDS.2025.3548886
Chang-Jiun Lai;Ming-Dou Ker
Integrated circuits are susceptible to electrostatic discharge (ESD) events. Real-time detection and alerting of ESD events in semiconductor manufacturing environments is the key to achieving well ESD control. Additionally, the magnitude and duration of an ESD event are strongly correlated with the specific type of ESD events. The development of a novel ESD event detector, integrated on a single chip and featuring a logarithmic amplifier, a magnitude discriminator, and a time discriminator, has been motivated by this. This detector has been designed and fabricated in a 0.18- $mu $ m CMOS process. The magnitude of the ESD event can be detected and converted to 5-bit digital output codes, whereas the time duration of the ESD event can be converted to 3-bit digital output codes by the newly developed ESD event detector. It has been proven in field applications that the detected ESD events can be successfully transmitted to the ESD control center through the RF Wi-Fi module, enabling real-time ESD monitoring and control in manufacturing environments.
集成电路容易受到静电放电事件的影响。半导体制造环境中ESD事件的实时检测和报警是实现良好ESD控制的关键。此外,ESD事件的强度和持续时间与特定类型的ESD事件密切相关。一种新型的ESD事件检测器,集成在单个芯片上,具有对数放大器,幅度鉴别器和时间鉴别器,由此得到了发展的动力。该探测器是在0.18- $mu $ m的CMOS工艺中设计和制造的。新研制的ESD事件检测器可以检测到ESD事件的幅度,并将其转换为5位数字输出码,将ESD事件持续时间转换为3位数字输出码。现场应用证明,检测到的ESD事件可以通过射频Wi-Fi模块成功传输到ESD控制中心,实现制造环境中的实时ESD监测和控制。
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引用次数: 0
Prediction of Single Event Effect in Inverter Circuit Based on Deep Learning 基于深度学习的逆变电路单事件效应预测
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-03-05 DOI: 10.1109/JEDS.2025.3561075
Jin Huang;Rong Zhao;Shulong Wang;Xingyuan Yan;Hao Zhou;Liutao Li;Shupeng Chen;Hongxia Liu
Fully Depleted Silicon on Insulator (FDSOI) technology can solve the short channel effect very effectively, with low power consumption, and low voltage, and can improve the subthreshold characteristics of the device. In addition, FDSOI devices have good radiation resistance, which has become an important research object in the field of device research. Single event effect (SEE) is an important index of radiation resistance of FDSOI devices. At present, the research on SEE of FDSOI devices typically employs heavy-ion irradiation experiments and TCAD software simulations. Taking FDSOI technology as an example, this paper presents a research method of device modeling and performance prediction based on deep learning. The accuracy of the peak of transient current $(I_{peak})$ predicted by this method is 96.45%, the accuracy of total collected charge $(Q_{total})$ is 97.86%, and the determination coefficient of drain transient current pulse (It) is 0.97717. This method can obviously improve the simulation speed and reduce the calculation cost, and provide a new feasible method for the research of FDSOI devices.
全贫绝缘体上硅(FDSOI)技术可以非常有效地解决短通道效应,具有低功耗、低电压的特点,可以改善器件的亚阈值特性。此外,FDSOI器件具有良好的抗辐射性能,已成为器件研究领域的重要研究对象。单事件效应(SEE)是FDSOI器件抗辐射性能的重要指标。目前,FDSOI器件的SEE研究一般采用重离子辐照实验和TCAD软件模拟。以FDSOI技术为例,提出了一种基于深度学习的器件建模与性能预测的研究方法。该方法预测暂态电流峰值$(I_{peak})$的准确度为96.45%,总电荷收集值$(Q_{total})$的准确度为97.86%,漏极暂态电流脉冲确定系数(It)为0.97717。该方法可以明显提高仿真速度,降低计算成本,为FDSOI器件的研究提供了一种新的可行方法。
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引用次数: 0
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IEEE Journal of the Electron Devices Society
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