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Discrete-Trap Effects on 3-D NAND Variability – Part II: Random Telegraph Noise 离散陷阱对 3-D NAND 变异性的影响 - 第二部分:随机电报噪声
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-21 DOI: 10.1109/JEDS.2024.3447150
Gerardo Malavena;Salvatore M. Amoroso;Andrew R. Brown;Plamen Asenov;Xi-Wei Lin;Victor Moroz;Mattia Giulianini;David Refaldi;Christian Monzio Compagnoni;Alessandro S. Spinelli
In Part II of this article we discuss the impact of a discrete treatment of traps on 3-D NAND Flash random telegraph noise (RTN). A higher RTN results when discrete traps are taken into account, that can only be explained by a stronger influence of the discrete charged traps on the current conduction, leading to more percolation. The effects are then investigated as a function of the cell parameters, showing that a continuous model for traps cannot reproduce the correct dependence.
在本文的第二部分,我们将讨论离散陷阱处理对 3-D NAND 闪存随机电报噪声(RTN)的影响。当考虑到离散陷阱时,RTN 会更高,这只能解释为离散带电陷阱对电流传导的影响更大,导致更多的渗滤。然后研究了作为电池参数函数的影响,结果表明陷阱的连续模型无法再现正确的依赖关系。
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引用次数: 0
Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks 基于成本敏感型密集连接深度神经网络的设备建模
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-21 DOI: 10.1109/JEDS.2024.3447032
Xiaoying Tang;Zhiqiang Li;Lang Zeng;Hongwei Zhou;Xiaoxu Cheng;Zhenjie Yao
Engineers used TCAD tools for semiconductor devices modeling. However, it is computationally expensive and time-consuming for advanced devices with smaller dimensions. Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. This method utilizes a densely connected deep neural networks (DenseDNN), which establishes direct connections between layers in the neural networks, provides stronger feature extraction and information transmission capabilities. By incorporating cost-sensitive learning methods, the proposed model focus more on the critical data that determines device characteristics, leading to accurate prediction of key device characteristics under various parameters. Experimental results on a test dataset of 116 NWFETs demonstrate the effectiveness of this method. The DenseDNN model with cost-sensitive learning exhibits better performance than traditional deep neural networks (DNN) with various widths and depths, with a prediction error below 1.62%. Moreover, compared to TCAD simulation results, the model can speedup $10^{6}times$ .
工程师使用 TCAD 工具进行半导体器件建模。然而,对于尺寸较小的先进器件来说,这种方法计算成本高且耗时。因此,本研究提出了一种基于机器学习的器件建模算法,以从技术计算机辅助设计(TCAD)仿真结果中捕捉全栅极(GAA)纳米线场效应晶体管(NWFET)参数与电气特性之间复杂的非线性关系。该方法利用密集连接的深度神经网络(DenseDNN),在神经网络各层之间建立直接连接,提供更强的特征提取和信息传输能力。通过采用对成本敏感的学习方法,所提出的模型更加关注决定设备特性的关键数据,从而在各种参数下准确预测关键设备特性。在 116 个 NWFET 测试数据集上的实验结果证明了该方法的有效性。与具有不同宽度和深度的传统深度神经网络(DNN)相比,具有成本敏感学习的 DenseDNN 模型表现出更好的性能,预测误差低于 1.62%。此外,与 TCAD 仿真结果相比,该模型的速度提高了 10^{6}/times$ 。
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引用次数: 0
High Speed Level-Down Shifter Using LTPO TFTs for Low Power and Interface Electronics 利用 LTPO TFT 实现低功耗和接口电子器件的高速降电平移位器
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-16 DOI: 10.1109/JEDS.2024.3438210
Sunaina Priyadarshi;Abidur Rahaman;Mohammad Masum Billah;Sabiqun Nahar;Md. Redowan Mahmud Arnob;Jin Jang
This article intends to use a low-temperature poly-Si oxide (LTPO) level-down-shifter (LDS) to translate voltage signals with different amplitudes operating at various frequencies. The LTPO LDS is made of p-type low-temperature poly-Si and n-type a-InGaZnO thin-film transistors. The input voltage range of 2 V~10 V could be shifted to 1.2 V ~ 4.41 V output voltage. The rising and falling times are less than 400 ns at the operational frequency of 50 kHz. Also, the multiple output power supply of 6 V, 3 V, and 1.8 V for interface circuits has been possible with a single supply of 10 V. The proposed LDS shows a switching power consumption of 95.57 pW and area of 0.023 mm2.
本文旨在使用低温多晶硅氧化物(LTPO)电平降低转换器(LDS)来转换在不同频率下工作的不同幅度的电压信号。LTPO LDS 由 p 型低温多晶硅和 n 型 a-InGaZnO 薄膜晶体管组成。输入电压范围为 2 V~10 V,可转换为 1.2 V~4.41 V 的输出电压。在 50 kHz 的工作频率下,上升和下降时间小于 400 ns。此外,只需 10 V 单电源,即可为接口电路提供 6 V、3 V 和 1.8 V 的多路输出电源。
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引用次数: 0
Electrical Effect of Nitrogen Implanted Into LDD of MOSFETs 氮气植入 MOSFET LDD 的电气效应
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-12 DOI: 10.1109/JEDS.2024.3442474
Yoo Seon Song;Markus Lenski;Mohammed F. Karim;Keith Flynn;Jan Hoentschel;Carsten Peters;Jens-Uwe Sachse;Ömür Işıl Aydin;Jun Wu;Bastian Haußdörfer;Mahesh Siddabathula;Konrad Semmler;Jürgen Daleiden
The motivation of this study was to solve the high $rm I_{D,off}$ problem in 8 Volt N-channel MOSFET. We experimented with implanting nitrogen into LDD at various doses. As a result, $rm I_{D,off}$ increases and $rm BV_{DSS}$ decreases as the dose increases. When it exceeds 1.0E15 cm $^{-2}$ , the occurrence of tail-type $rm I_{D,off}$ and $rm BV_{DSS}$ that deviate from the normal distribution increases. Implanted nitrogen enhances the diffusion of dopants in the LDD bulk but suppresses it on the silicon surface. As a result, the depletion curvature at the LDD edge becomes a negative shape and increases the electric field. We performed the same experiment on logic MOSFETs to comprehensively analyze other electrical effects. Nitrogen improves the HCI immunity of MOSFETs but degrades for 2.5 Volt and 8 Volt MOSFETs when the dose is above 1.0E15 cm $^{-2}$ . The short-channel effect of 2.5 Volt MOSFET is insensitive to nitrogen but is suppressed in CORE MOSFET when the dose is over 1.3E15 cm $^{-2}$ . Nitrogen changes $rm I_{D,sat}$ through interactions with co-implanted species and nitrogen dose. As a result, nitrogen co-implanted with phosphorus shows a parabolic-like $rm I_{D,sat}$ trend. However, in the case of CORE MOSFET implanted with arsenic, $rm I_{D,sat}$ does not show a parabolic-like trend but increases continuously. This experiment did not find much benefit from nitrogen implantation for 2.5 Volt and 8 Volt MOSFETs. For all MOSFETs, it is recommended that the nitrogen dosage not exceed 1.0E15 cm $^{-2}$ .
这项研究的动机是解决 8 伏 N 沟道 MOSFET 的高 I_{D,off}$ 问题。我们试验了以不同剂量将氮植入 LDD。结果是,随着剂量的增加,$rm I_{D,off}$ 增加,$rm BV_{DSS}$ 减少。当剂量超过 1.0E15 cm $^{-2}$ 时,偏离正态分布的尾型 $rm I_{D,off}$ 和 $rm BV_{DSS}$ 的出现率会增加。植入的氮增强了掺杂剂在 LDD 块体中的扩散,但却抑制了其在硅表面的扩散。因此,LDD 边缘的耗尽曲率变成了负形状,并增加了电场。我们在逻辑 MOSFET 上进行了同样的实验,以全面分析其他电气效应。氮气提高了 MOSFET 的抗 HCI 能力,但当剂量超过 1.0E15 cm $^{-2}$ 时,2.5 伏和 8 伏 MOSFET 的抗 HCI 能力会下降。2.5 伏 MOSFET 的短沟道效应对氮不敏感,但当剂量超过 1.3E15 厘米 $^{-2}$ 时,CORE MOSFET 的短沟道效应受到抑制。氮通过与共植入物种和氮剂量的相互作用改变了 $rm I_{D,sat}$。因此,氮与磷的共植入呈现出类似抛物线的 $rm I_{D,sat}$ 趋势。然而,在植入砷的 CORE MOSFET 中,$rm I_{D,sat}$ 并未呈现抛物线趋势,而是持续增加。本实验没有发现氮植入对 2.5 伏和 8 伏 MOSFET 有什么好处。对于所有 MOSFET,建议氮气用量不要超过 1.0E15 cm $^{-2}$ 。
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引用次数: 0
High-Performance Germanium P-I-N Photodiodes for High-Speed, Hard X-Ray Imaging 用于高速硬 X 射线成像的高性能锗 P-I-N 光电二极管
IF 2.3 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-08 DOI: 10.1109/jeds.2024.3441389
Ziang Guo, Sergei Mistyuk, Arthur Carpenter, Charles E. Hunt
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引用次数: 0
A 1.1-nJ/Classification True Analog Current Computing on Multilayer Neural Network With Crystalline-IGZO/Si-CMOS Monolithic Stack Technology 利用晶体-IGZO/Si-CMOS 单片叠层技术的多层神经网络计算 1.1-nJ/Classification 真实模拟电流
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-07 DOI: 10.1109/JEDS.2024.3439712
Kazuki Tsuda;Kazuma Furutani;Yuto Yakubo;Hiromichi Godo;Yoshinori Ando;Atsutake Kosuge;Toru Nakura;Shunpei Yamazaki
We prototyped a true analog current computing multilayer neural network (NN) chip, where multiple analog in-memory computing (AiMC) circuit blocks are connected to each other via simple analog non-linear operation circuits. The true analog current computing is achieved with the invention of an analog current rectified linear unit (ReLU) circuit of a three-stage current mirror. With the prototyped NN chip, we demonstrated that the true analog computing (1) achieves process variation compensation utilizing current driving, (2) eliminates digital-analog or analog-digital data conversion between NNs, and (3) realizes low power inference, not only in multiply-accumulate (MAC) but in ReLU operation. Through classification of Mixed National Institute of Standards and Technology dataset, the chip exhibits a low energy of 1.1 nJ/classification and an accuracy of 91.6%, achieves weight retention of five hours, much longer than dynamic random access memory, and enables 68% power reduction compared with serially connected two single-layer NN chips with analog-digital converters and digital-analog converters in between. Although periodic refresh from an external storage class memory is necessary for applications that require continuous operation exceeding five hours, our AiMC capable of MAC and non-linear operations with low power is effective in applications such as edge artificial intelligence terminals with limited power sources.
我们制作了真正的模拟电流计算多层神经网络(NN)芯片原型,其中多个模拟内存计算(AiMC)电路块通过简单的模拟非线性运算电路相互连接。三级电流镜的模拟电流整流线性单元(ReLU)电路的发明实现了真正的模拟电流计算。通过原型 NN 芯片,我们证明了真正的模拟计算:(1) 利用电流驱动实现了工艺变化补偿;(2) 消除了 NN 之间的数模或模数数据转换;(3) 实现了低功耗推理,不仅在乘法累加(MAC)中如此,在 ReLU 运算中也是如此。通过对美国国家标准与技术研究院的混合数据集进行分类,该芯片实现了 1.1 nJ/分类的低能耗和 91.6% 的准确率,重量保持时间长达 5 小时,远远超过动态随机存取存储器,与串行连接的两个单层 NN 芯片(中间带有模拟数字转换器和数字模拟转换器)相比,功耗降低了 68%。虽然对于需要连续工作超过五小时的应用来说,从外部存储类存储器定期刷新是必要的,但我们的 AiMC 能够以低功耗进行 MAC 和非线性操作,在诸如电源有限的边缘人工智能终端等应用中非常有效。
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引用次数: 0
Fast-Read Storage Performance by Thyristor Operation in 3-D Flash Memory 三维闪存中晶闸管的快速读取存储性能
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-06 DOI: 10.1109/JEDS.2024.3438886
Tomoya Sanuki;Hideto Horii;Takashi Maeda
In this work, we report the fast-read storage performance of thyristor operation in 3D flash memory. By forming a pseudo N+/P/N/P+ structure with the word line (WL) bias of 3D string cells, thyristor operation with steep switching characteristics and a high on-current can be obtained. It is known that there is a strong cell-to-cell interference effect in thyristor operation, and in previous report (Horii et al., 2020), we have suggested novel WL bias conditions, referred to as the wide barrier mode, that can suppress the cell-to-cell interference effect. In order to evaluate the advantages of thyristor operation in 3D flash memory further, we report for the first time the several cell characteristics and reliability issues of thyristor operation required for the actual usage of storage products. (1) We demonstrate excellent cell characteristics of a wide programmed Vth window and sufficient program slope values in thyristor operation, which are indispensable for realizing multi-level cells. (2) Cell characteristics of thyristor operation exhibit hysteresis when sweeping in the WL direction but not in the bit line (BL) direction, which is essential for determining the read operating waveform. (3) Our proposed new WL biasing scheme to suppress the cell-to-cell interference effect is described with a more detailed dependence on adjacent cells and its effect on the on-current. We show that a high on-current can still be achieved even with highly stacked WL of approximately 100 layers. (4) In terms of reliability issues, thyristor operation exhibits a sufficient margin against read cycle stress with minimal change in the cell Vth even after 2 million read cycles. Thyristor operation can be applied to storage products even in read-intensive applications. (5) We also describe storage performance, including read latency and bandwidth, for SLC and QLC mode in memory arrays with highly stacked WL of approximately 100 layers. Thyristor operation of 3D flash memory is a strong candidate for future high-speed storage products, as it can significantly improve read latency and program throughput.
在这项研究中,我们报告了晶闸管在三维闪存中的快速读取存储性能。通过利用三维串单元的字线(WL)偏置形成伪 N+/P/N/P+ 结构,可以获得具有陡峭开关特性和高导通电流的晶闸管操作。众所周知,晶闸管工作时存在较强的单元间干扰效应,而在之前的报告(Horii 等人,2020 年)中,我们提出了可抑制单元间干扰效应的新型 WL 偏置条件(称为宽势垒模式)。为了进一步评估晶闸管工作在三维闪存中的优势,我们首次报告了晶闸管工作在存储产品实际使用中所需的几个单元特性和可靠性问题。(1) 我们证明了晶闸管工作时具有宽编程 Vth 窗口和足够的编程斜率值等优异的单元特性,这些特性对于实现多级单元是不可或缺的。(2) 晶闸管工作时的单元特性在向 WL 方向扫描时表现出滞后,而在向位线(BL)方向扫描时则没有,这对于确定读取工作波形至关重要。(3) 我们提出的抑制单元间干扰效应的新 WL 偏置方案,更详细地描述了对相邻单元的依赖性及其对导通电流的影响。我们的研究表明,即使 WL 高度堆叠(约 100 层),也能实现较高的导通电流。(4) 就可靠性问题而言,晶闸管操作对读取周期压力有足够的裕度,即使在 200 万次读取周期后,单元 Vth 的变化也微乎其微。晶闸管运行可用于读取密集型应用的存储产品。(5) 我们还介绍了 SLC 和 QLC 模式在具有约 100 层高度堆叠 WL 的存储器阵列中的存储性能,包括读取延迟和带宽。晶闸管工作的三维闪存是未来高速存储产品的有力候选,因为它能显著改善读取延迟和程序吞吐量。
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引用次数: 0
Abnormal Temperature and Bias Dependence of Threshold Voltage Instability in p-GaN/AlGaN/GaN HEMTs p-GaN/AlGaN/GaN HEMT 中阈值电压不稳定性的异常温度和偏置依赖性
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-01 DOI: 10.1109/JEDS.2024.3436820
Myeongsu Chae;Ho-Young Cha;Hyungtak Kim
In this work, we investigated the instability of threshold voltage (Vth) in p-GaN/AlGaN/GaN high electron mobility transistors (HEMTs) under positive gate biases and high temperatures. We reveal an abnormal temperature dependence of threshold voltage instability, suggesting that threshold voltage instability significant differences at elevated temperatures and is primarily attributed to the trapping/detrapping of charged carriers. Notably, the positive shift in threshold voltage diminished and eventually reversed at low gate bias as the temperature increased. In contrast, the negative shift intensified with increasing temperature but began to mitigate above 100°C at high gate bias due to an enhanced de-trapping process of electrons and holes. These results suggest the presence of multiple mechanisms behind the threshold voltage instability under varying thermal conditions.
在这项工作中,我们研究了 p-GaN/AlGaN/GaN 高电子迁移率晶体管(HEMT)在正栅极偏压和高温条件下阈值电压(Vth)的不稳定性。我们揭示了阈值电压不稳定性的异常温度依赖性,表明阈值电压不稳定性在高温下存在显著差异,主要归因于带电载流子的捕获/俘获。值得注意的是,阈值电压的正移随着温度的升高而减小,并最终在低栅极偏置时逆转。相反,负偏移随着温度的升高而加剧,但由于电子和空穴的去捕获过程增强,在栅极偏压高于 100°C 时,负偏移开始减轻。这些结果表明,在不同的热条件下,阈值电压不稳定背后存在多种机制。
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引用次数: 0
Explicit Function Model of Electromagnetic Reliability for CMOS Inverters Under HPM Coupling Based on Physical Mechanism Analysis and Neural Network Algorithm 基于物理机制分析和神经网络算法的 HPM 耦合下 CMOS 逆变器电磁可靠性显式函数模型
IF 2.3 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-31 DOI: 10.1109/jeds.2024.3436063
Huikai Chen, Jinbin Pan, Shulong Wang, Liutao Li, Jin Huang, Shupeng Chen, Hongxia Liu
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引用次数: 0
Demonstration of SA TG Coplanar IGZO TFTs With Large Subthreshold Swing Using the Back-Gate Biasing Technique for AMOLED Applications 利用反向栅极偏压技术为 AMOLED 应用展示具有大亚阈值波动的 SA TG 共面 IGZO TFT
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-29 DOI: 10.1109/JEDS.2024.3434613
Chae-Eun Oh;Ye-Lim Han;Dong-Ho Lee;Jin-Ha Hwang;Hwan-Seok Jeong;Myeong-Ho Kim;Kyoung-Seok Son;Sunhee Lee;Sang-Hun Song;Hyuck-In Kwon
We demonstrate that the shorter channel self-aligned top-gate (SA TG) coplanar indiumgallium- zinc oxide (IGZO) thin-film transistors (TFTs), with negative voltage applied to the back-gate, exhibit superior characteristics as driving transistors in organic light-emitting diode (OLED) pixels compared to their longer channel counterparts. The shorter channel IGZO TFTs (with a channel length (L) of 3 μm) biased with a back gate voltage of −3.5 V showed a larger subthreshold swing (SS = 0.21 V/dec) than the longer channel ones (with L = 5 μm, SS = 0.16 V/dec) with a similar threshold value (VTH = 0.7–0.8 V). A large SS is beneficial for controlling grayscale levels, especially at low gray levels, when IGZO TFTs are used as driving transistors in OLED pixels. Furthermore, the negatively back-gate-biased shorter channel SA TG coplanar IGZO TFTs exhibited significantly enhanced electrical stability compared to the longer channel ones under both positive gate bias and hot carrier stresses. The findings of this study are expected to be useful in expanding the utility of IGZO TFTs in OLED displays.
我们证明,在背栅施加负电压的短沟道自对准顶栅(SA TG)共面铟镓锌氧化物(IGZO)薄膜晶体管(TFT)与长沟道晶体管相比,在有机发光二极管(OLED)像素中作为驱动晶体管具有更优越的特性。与阈值(VTH = 0.7-0.8 V)相似的长沟道(沟道长度为 5 μm,SS = 0.16 V/dec)相比,背栅电压为 -3.5 V 的短沟道 IGZO TFT(沟道长度为 3 μm)显示出更大的阈下摆动(SS = 0.21 V/dec)。当 IGZO TFT 用作 OLED 像素的驱动晶体管时,较大的 SS 有利于控制灰度级,尤其是低灰度级。此外,与长沟道 IGZO TFT 相比,负背栅偏压的短沟道 SA TG 共面 IGZO TFT 在正栅偏压和热载流子应力下的电气稳定性都有显著提高。这项研究的结果有望有助于扩大 IGZO TFT 在 OLED 显示屏中的应用。
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引用次数: 0
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IEEE Journal of the Electron Devices Society
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