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Directly Fabricated Flexible Photodetector Based on TiO₂-Doped Carbon Nanosheets Film 基于掺杂 TiO2 的碳纳米片薄膜的直接制备柔性光电探测器
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-02 DOI: 10.1109/JEDS.2024.3422292
Yunlong Zhang;Xiaolin Li;Zhipeng Cao;Qiang Wu;Gong Chen;Bo Wen;Dongfeng Diao;Xi Zhang
Flexible photodetector is crucial for the intelligent industrial applications. However, the optical-sensitive materials are usually grown in a high temperature and then transferred onto the flexible substrate. This paper reported a directly fabricated flexible photodetector based on TiO2-doped Graphene Nanosheets Embedded Carbon (GNEC)film. An Electron Cyclotron Resonance (ECR) system was employed to in-situ deposit TiO2-doped GNEC film on a polyimide substrate, which were subsequently sensitized with N719 dye to fabricate the TiO2@GNEC photodetector. The GNEC film contains vertically aligned Graphene Nanosheets (GNs), which exhibit high-density edge states. The edge states suppress the recombination rate of photo-generated electron-hole pairs, thereby significantly enhancing the photo-responsive performance. The photodetector demonstrates a high photo responsivity of 0.82 mA/W and a response time of 1.93 seconds. Due to the in-situ manufacturing capabilities of the ECR system, which avoids defects from secondary material transfers, the photodetector array exhibits excellent consistency and achieves clear recognition of light patterns in both flat and bent states.
柔性光电探测器对于智能工业应用至关重要。然而,光敏材料通常需要在高温下生长,然后转移到柔性衬底上。本文报道了一种基于掺杂 TiO2 的石墨烯纳米片嵌入碳(GNEC)薄膜直接制作的柔性光电探测器。利用电子回旋共振(ECR)系统在聚酰亚胺基底上原位沉积掺杂 TiO2 的 GNEC 薄膜,然后用 N719 染料敏化,制备出 TiO2@GNEC 光电探测器。GNEC 薄膜含有垂直排列的石墨烯纳米片 (GN),它们呈现出高密度边缘态。边缘态抑制了光生电子-空穴对的重组率,从而显著提高了光响应性能。该光电探测器的光响应率高达 0.82 mA/W,响应时间为 1.93 秒。由于 ECR 系统具有原位制造能力,可避免二次材料转移造成的缺陷,因此光电探测器阵列具有出色的一致性,可清晰识别平面和弯曲状态下的光型。
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引用次数: 0
Piezotronic N+ -ITO/P-NiO/N-ZnO Heterojunction Thin-Film Diode as a Flexible Energy Scavenger 作为柔性能量清除器的压电 N+-ITO/P-NiO/N-ZnO 异质结薄膜二极管
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-01 DOI: 10.1109/JEDS.2024.3421612
Shuxin Lin;Emad Iranmanesh;Lin Zhao;Weiwei Li;Haris Doumanidis;Hang Zhou;Kai Wang
This paper reports on an all-oxide thin film piezotronic P-N heterojunction diode incorporating vertically-stacked structure of N+-ITO/P-type nickel oxide/N-type zinc oxide as a flexible energy scavenger and its diode characteristics on signal regulation which simplifies an essential element for harvesting which is signal rectification circuitry. An energy band diagram, theoretical modeling and equivalent small-signal circuit elaborate its working principle and device physics. Signal amplification due to introduction of in-series capacitances related to junction formation has also been addressed. A preliminary experimental study demonstrates applicability of such a flexible energy scavenger in various gratis non-stop thrusts originating from human body motions such as: simple tapping (as in typing) and walking actions for generating $mu $ W-range power. Moreover, focusing on a simple power management system along with analysis of voltage waveforms in response to both resistive and capacitive loads unveils that the device is capable of quickly charging a capacitor and discharging it slowly allowing for possible energy storage. The estimation on generated power by a pixelated array that is obtainable due to ease of large-area fabrication processes and a single-pixel strip-based device exabits its feasibility as an energy source to power up some IoT nodes.
本文介绍了一种全氧化物薄膜压电 P-N 异质结二极管,它采用 N+-ITO/P 型氧化镍/N 型氧化锌的垂直叠层结构作为柔性能量清除器,其二极管在信号调节方面的特性简化了信号整流电路这一采集的基本要素。能带图、理论建模和等效小信号电路阐述了其工作原理和器件物理特性。此外,还讨论了由于引入与结形成相关的串联电容而导致的信号放大。初步实验研究表明,这种柔性能量清除器适用于源于人体运动的各种无偿不间断推力,例如:简单的敲击(如打字)和行走动作,以产生 $mu $ W 范围的功率。此外,对简单电源管理系统的关注,以及对响应电阻和电容负载的电压波形的分析,揭示了该设备能够对电容器快速充电和缓慢放电,从而实现可能的能量存储。由于大面积制造工艺和基于单像素条带的设备非常容易实现,因此对像素阵列产生的功率进行了估算,从而证明了其作为一种能源为某些物联网节点供电的可行性。
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引用次数: 0
A New 13T4C LTPO MicroLED Pixel Circuit Producing Highly Stable Driving Current by Minimizing Effect of Parasitic Capacitors and Stabilizing Capacitor Nodes 一种新型 13T4C LTPO MicroLED 像素电路,通过最小化寄生电容和稳定电容节点的影响产生高度稳定的驱动电流
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-24 DOI: 10.1109/JEDS.2024.3417994
Ji-Hwan Park;Kyeong-Soo Kang;Chanjin Park;Soo-Yeon Lee
In this paper, we proposed a new low-temperature polycrystalline oxide (LTPO) thin-film transistor (TFT) pixel circuit for micro light-emitting diode (μ LED) displays that produces a highly stable and uniform driving current. The proposed pixel circuit suppresses the current level change along with the sweep signal due to the parasitic capacitances and compensates for the TFT's threshold voltage (VTH) variation-induced current error, including even falling shape. In addition, the proposed circuit produces a constant current regardless of the data voltage. As a result, a relative current error rate of less than 2% was achieved across all gray levels under the ±0.5 V VTH fluctuation. The proposed circuit was verified using HSPICE with a low-temperature polycrystalline silicon (LTPS) TFT and amorphous indium-galliumzinc- oxide (a-IGZO) TFT model based on the measured data. The simulation analysis confirmed that the optimal sweep signal input position and pulse width modulation (PWM) and constant current generation (CCG) parts connecting method were key design points for stable and uniform performance.
本文提出了一种用于微型发光二极管(μ LED)显示器的新型低温多晶氧化物(LTPO)薄膜晶体管(TFT)像素电路,可产生高度稳定和均匀的驱动电流。所提出的像素电路可抑制寄生电容导致的电流电平随扫描信号的变化,并补偿 TFT 的阈值电压 (VTH) 变化引起的电流误差,包括均匀的下降形状。此外,无论数据电压如何变化,所提出的电路都能产生恒定的电流。因此,在 ±0.5 V VTH 波动下,所有灰度级的相对电流误差率均小于 2%。根据测量数据,使用 HSPICE 对低温多晶硅 (LTPS) TFT 和非晶铟镓锌氧化物 (a-IGZO) TFT 模型进行了验证。仿真分析证实,最佳扫描信号输入位置以及脉宽调制 (PWM) 和恒流发电 (CCG) 部件连接方法是实现稳定和均匀性能的关键设计点。
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引用次数: 0
A 3-D Bank Memory System for Low-Power Neural Network Processing Achieved by Instant Context Switching and Extended Power Gating Time 通过即时上下文切换和延长功率门控时间实现低功耗神经网络处理的 3-D 存储器系统
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-24 DOI: 10.1109/JEDS.2024.3418036
Kouhei Toyotaka;Yuto Yakubo;Kazuma Furutani;Haruki Katagiri;Masashi Fujita;Yoshinori Ando;Toru Nakura;Shunpei Yamazaki
Using a 3-D monolithic stacking memory technology of crystalline oxide semiconductor (OS) transistors, we fabricated a test chip having AI accelerator (ACC) memory for weight data of a neural network (NN), backup memory of flip-flops (FF), and CPU memory storing instructions and data. These memories are composed of two-layer OS transistors on Si CMOS, where memories in each layer correspond to a bank. In this structure, bank switching of the ACC memory and the FF backup memory work together, and thus inference of different NNs is switched with low latency and low power so that the power gating standby time can be extended. Consequently, a 92% reduction in power consumption is achieved in inference at a frame rate of 60 fps as compared with a chip using static random access memory (SRAM) as the ACC memory.
利用晶体氧化物半导体(OS)晶体管的三维单片堆叠存储器技术,我们制造出了一款测试芯片,其中包括用于神经网络(NN)权重数据的人工智能加速器(ACC)存储器、触发器(FF)备份存储器以及存储指令和数据的 CPU 存储器。这些存储器由 Si CMOS 上的两层 OS 晶体管组成,每一层的存储器对应一个组。在这种结构中,ACC 存储器和 FF 备用存储器的组切换是协同工作的,因此不同 NN 的推理切换具有低延迟和低功耗的特点,从而延长了电源门控的待机时间。因此,与使用静态随机存取存储器(SRAM)作为 ACC 存储器的芯片相比,在帧速率为 60 fps 的推理过程中,功耗降低了 92%。
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引用次数: 0
Effective Reduction of Hydrogen Diffusion and Reliability Degradation in Peripheral Transistor of Peripheral-Under-Cell (PUC) NAND Flash Memory 有效减少外设单元下 (PUC) NAND 闪存外设晶体管中的氢扩散和可靠性退化
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-24 DOI: 10.1109/JEDS.2024.3418212
Eunyoung Park;Hyun-Yong Yu
Recently, a new structure called PUC has been introduced, in which the periphery is located below the NAND cell to reduce chip area. However, as the SiN-based cell alloy process progresses during the NAND manufacturing process, there is a problem in that excess hydrogen is injected into the peripheral transistor, resulting in degradation of reliability. Therefore, we propose the hydrogen diffusion model in PUC to investigate the degradation of peripheral transistor by excess hydrogen using Sentaurus 3D technology Computer-Aided Design (TCAD) and suggest an optimal process to improve reliability. As a result, by applying the bonding process and adjusting the cell alloy process sequence, the amount of excess hydrogen injection is reduced by 87% and the NBTI lifetime showed about 8.3 times greater result and TDDB breakdown time improved more than 9.1 times compared to the PUC structure made through a sequential process. Additionally, this process effectively alleviates excess hydrogen injection in the NAND cell with an increased number of WL. These results could provide critical insight for designing a PUC that ensures the reliability of peripheral transistor.
最近,一种名为 PUC 的新结构问世,它将外围位于 NAND 单元下方,以减少芯片面积。然而,随着基于 SiN 的单元合金工艺在 NAND 制造过程中的发展,出现了过量氢气注入外围晶体管的问题,导致可靠性下降。因此,我们提出了 PUC 中的氢扩散模型,利用 Sentaurus 3D 技术计算机辅助设计(TCAD)研究过量氢对外围晶体管的降解,并提出了提高可靠性的最佳工艺。结果,通过采用键合工艺和调整电池合金工艺顺序,过量氢注入量减少了 87%,与顺序工艺制作的 PUC 结构相比,NBTI 寿命提高了约 8.3 倍,TDDB 击穿时间提高了 9.1 倍以上。此外,随着 WL 数量的增加,该工艺还能有效缓解 NAND 单元中过量的氢注入。这些结果为设计能确保外围晶体管可靠性的 PUC 提供了重要启示。
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引用次数: 0
Large-Scale Training in Neural Compact Models for Accurate and Adaptable MOSFET Simulation 大规模训练神经紧凑模型,实现准确、适应性强的 MOSFET 仿真
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-20 DOI: 10.1109/JEDS.2024.3417521
Chanwoo Park;Seungjun Lee;Junghwan Park;Kyungjin Rim;Jihun Park;Seonggook Cho;Jongwook Jeon;Hyunbo Cho
We address the challenges associated with traditional analytical models, such as BSIM, in semiconductor device modeling. These models often face limitations in accurately representing the complex behaviors of miniaturized devices. As an alternative, Neural Compact Models (NCMs) offer improved modeling capabilities, but their effectiveness is constrained by a reliance on extensive datasets for accurate performance. In real-world scenarios, where measurements for device modeling are often limited, this dependence becomes a significant hindrance. In response, this work presents a large-scale pre-training approach for NCMs. By utilizing extensive datasets across various technology nodes, our method enables NCMs to develop a more detailed understanding of device behavior, thereby enhancing the accuracy and adaptability of MOSFET device simulations, particularly when data availability is limited. Our study illustrates the potential benefits of large-scale pre-training in enhancing the capabilities of NCMs, offering a practical solution to one of the key challenges in current device modeling practices.
我们探讨了传统分析模型(如 BSIM)在半导体器件建模中面临的挑战。这些模型在准确表示微型器件的复杂行为方面往往面临局限。作为一种替代方案,神经紧凑模型(NCM)提供了更好的建模能力,但其有效性因依赖大量数据集以获得准确性能而受到限制。在现实世界中,用于器件建模的测量数据往往有限,因此这种依赖性成为一个重大障碍。为此,本研究提出了一种针对 NCM 的大规模预训练方法。通过利用各种技术节点的广泛数据集,我们的方法使 NCM 能够更详细地了解器件行为,从而提高 MOSFET 器件模拟的准确性和适应性,尤其是在数据可用性有限的情况下。我们的研究说明了大规模预培训在增强 NCM 能力方面的潜在优势,为当前器件建模实践中的主要挑战之一提供了实用的解决方案。
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引用次数: 0
Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection 在铁电 FinFET 跨栅上高效实现马哈拉诺比斯距离以检测离群点
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-19 DOI: 10.1109/JEDS.2024.3416441
Musaib Rafiq;Yogesh Singh Chauhan;Shubham Sahay
The developments in the nascent field of artificial-intelligence-of-things (AIoT) relies heavily on the availability of high-quality multi-dimensional data. A huge amount of data is being collected in this era of big data, predominantly for AI/ML algorithms and emerging applications. Considering such voluminous quantities, the collected data may contain a substantial number of outliers which must be detected before utilizing them for data mining or computations. Therefore, outlier detection techniques such as Mahalanobis distance computation have gained significant popularity recently. Mahalanobis distance, the multivariate equivalent of the Euclidean distance, is used to detect the outliers in the correlated data accurately and finds widespread application in fault identification, data clustering, singleclass classification, information security, data mining, etc. However, traditional CMOS-based approaches to compute Mahalanobis distance are bulky and consume a huge amount of energy. Therefore, there is an urgent need for a compact and energy-efficient implementation of an outlier detection technique which may be deployed on AIoT primitives, including wireless sensor nodes for in-situ outlier detection and generation of high-quality data. To this end, in this paper, for the first time, we have proposed an efficient Ferroelectric FinFET-based implementation for detecting outliers in correlated multivariate data using Mahalanobis distance. The proposed implementation utilizes two crossbar arrays of ferroelectric FinFETs to calculate the Mahalanobis distance and detect outliers in the popular Wisconsin breast cancer dataset using a novel inverter-based threshold circuit. Our implementation exhibits an accuracy of 94.1% which is comparable to the software implementations while consuming a significantly low energy (27.2 pJ).
新兴的人工智能(AIoT)领域的发展在很大程度上依赖于高质量多维数据的可用性。在这个大数据时代,大量数据被收集起来,主要用于人工智能/物联网算法和新兴应用。考虑到如此巨大的数据量,收集到的数据可能包含大量离群值,在利用这些数据进行数据挖掘或计算之前,必须先检测出离群值。因此,离群值检测技术(如 Mahalanobis 距离计算)最近大受欢迎。Mahalanobis 距离是欧氏距离的多元等价物,用于准确检测相关数据中的离群值,在故障识别、数据聚类、单类分类、信息安全、数据挖掘等领域得到广泛应用。然而,传统的基于 CMOS 的 Mahalanobis 距离计算方法体积庞大、能耗巨大。因此,迫切需要一种紧凑、节能的离群点检测技术,该技术可部署在包括无线传感器节点在内的人工智能物联网基元上,用于现场离群点检测和生成高质量数据。为此,我们在本文中首次提出了一种基于铁电 FinFET 的高效实现方法,利用 Mahalanobis 距离检测相关多元数据中的异常值。所提出的实现方法利用了两个铁电 FinFET 横条阵列来计算 Mahalanobis 距离,并使用新型的基于逆变器的阈值电路来检测流行的威斯康星州乳腺癌数据集中的异常值。我们实现的准确率为 94.1%,与软件实现的准确率相当,而能耗却很低(27.2 pJ)。
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引用次数: 0
HfO₂ Thin Films by Chemical Beam Vapor Deposition for Large Resistive Switching Memristors 利用化学气束气相沉积技术制备用于大电阻开关晶闸管的 HfO₂ 薄膜
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-19 DOI: 10.1109/JEDS.2024.3416516
Federico Vittorio Lupo;Mauro Mosca;Sarunas Bagdzevicius;Rashmi Rani;William Maudez;Estelle Wagner;Maria Pia Casaletto;Salvatore Basile;Giacomo Benvenuti;Isodiana Crupi;Roberto Macaluso
We present chemical beam vapor deposition (CBVD) as a valuable technique for the fabrication of good quality HfO2-based memristors. This deposition technique gives the opportunity to rapidly screen material properties in combinatorial mode and to reproduce the optimized conditions homogenously on large substrates. Cu/HfO2/Pt memory devices with three different oxide thicknesses were fabricated and electrically characterized. A bipolar resistive switching and forming free behavior was seen in all the tested devices. Lower switching voltages than similar devices fabricated by employing different deposition techniques were observed. The conduction mechanism in the low resistance state can be ascribed to filamentary copper, while a trap-controlled space charge limited current conduction was observed in the high resistance state. The comparative evaluation of devices with different oxide thicknesses allows to infer that devices with thicker HfO2 film (25 nm) are more performing in terms of ROFF/RON ratio ( $10{^{{6}}}$ ), and reproducible resistive switching over more than 100 cycles in both low and high resistance states. Thinner oxide devices (20 nm and 16 nm), despite similar long retention time ( $10{^{{4}}}$ s), and lower SET/RESET voltages show instead a smaller memory window and a switching instability. These results, compared also with other reported in literature for similar memristive structures realized with other deposition techniques, show that CBVD can be considered as a promising technique for realizing HfO2-based non-volatile memory devices with good performance.
我们介绍的化学束气相沉积(CBVD)技术是制造优质二氧化铪忆阻器的重要技术。这种沉积技术能以组合模式快速筛选材料特性,并在大型基底上均匀复制优化条件。我们制作了具有三种不同氧化物厚度的铜/HfO2/铂存储器件,并对其进行了电学表征。所有测试器件都具有双极电阻开关和无形成行为。与采用不同沉积技术制造的类似器件相比,该器件的开关电压更低。低电阻状态下的传导机制可归因于丝状铜,而在高电阻状态下则观察到受陷阱控制的空间电荷限制的电流传导。通过对具有不同氧化物厚度的器件进行比较评估,可以推断出具有较厚 HfO2 薄膜(25 nm)的器件在 ROFF/RON 比(10{^{{6}}$)方面性能更佳,而且在低电阻和高电阻状态下都能在 100 多个周期内重复电阻开关。更薄的氧化物器件(20 nm 和 16 nm)尽管具有类似的长保持时间(10{^{{4}}$ )和更低的 SET/RESET 电压,但却显示出更小的内存窗口和开关不稳定性。这些结果与文献中报道的采用其他沉积技术实现的类似存储器结构的结果相比,表明 CBVD 是实现基于 HfO2 的高性能非易失性存储器件的一种有前途的技术。
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引用次数: 0
Scaling Challenges of Nanosheet Field-Effect Transistors Into Sub-2 nm Nodes 将纳米片场效应晶体管扩展到 2 纳米以下节点所面临的挑战
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-18 DOI: 10.1109/JEDS.2024.3416200
Murad G. K. Alabdullah;M. A. Elmessary;D. Nagy;N. Seoane;A. J. García-Loureiro;K. Kalna
The scaling of nanosheet (NS) field effect transistors (FETs) from the 12 nm gate length to the ultimate gate length of 10 nm for sub-2 nm nodes brings additional technological challenges. Here, 3D finite element Monte Carlo simulations are employed to explore how to alter the NS architecture to increase the drive current ( ${I}_{mathrm {mathbf { DD}}}$ ) because the gate scaling to 10 nm results in a decline of the current (by $mathbf {10.7}$ %). ${I}_{mathrm {mathbf {DD}}}$ of the 10 nm gate length NS FET will increase by 11% if the maximum n-type source/drain doping reaches $1times 10^{20} mathrm {cm^{-3}}$ , or increase by $mathbf {3.8}$ % if the high- $kappa $ dielectric layer equivalent oxide thickness (EOT) is less than $mathbf {1.0}$ nm. The reduction in the channel width below 40 nm or the reduction in the channel thickness below 5 nm will substantially decrease IDD. The sub-threshold figures of merit like the sub-threshold slope (SS) will decrease from 75 to 73 mV/dec, while the drain-induced barrier lowering (DIBL) will increase from 32 to 77 mV/V. Finally, the effect of strain to increase the drive current is strongly limited by quantum confinement. ${I}_{mathrm {mathbf {DD}}}$ will increase by 3% and by 14% in the 10 nm gate NS FET with the $langle 110rangle $ and $langle 100rangle $ channel orientations, respectively, when a strain of $mathbf {0.5}$ % is applied to the channel, with a negligible increase for larger strain values ( $mathbf {0.7}$ % and $mathbf {1.0}$ %).
纳米片(NS)场效应晶体管(FET)的栅极长度从 12 nm 增加到 10 nm,为 2 nm 以下节点带来了额外的技术挑战。由于栅极扩展到 10 纳米会导致电流下降(下降了 $mathbf {10.7}$%),因此这里采用了三维有限元蒙特卡罗模拟来探索如何改变 NS 架构以增加驱动电流(${I}_{mathrm {mathbf { DD}}$ )。 如果 n 型源极/漏极的最大掺杂量达到 $1times 10^{20} ,10 nm 栅极长度的 NS FET 的 ${I}_{mathrm {mathbf {DD}}$ 将增加 11%。}mathrm {cm^{-3}}$ ,或者如果高 $kappa $ 介质层等效氧化物厚度 (EOT) 小于 $mathbf {1.0}$ nm,则通道宽度将增加 $mathbf {3.8}$ %。将沟道宽度减小到 40 nm 以下或将沟道厚度减小到 5 nm 以下将大大降低 IDD。阈下斜率(SS)等阈下性能指标将从 75 mV/dec 下降到 73 mV/dec,而漏极诱导势垒降低(DIBL)将从 32 mV/V 上升到 77 mV/V。最后,应变对增加驱动电流的影响受到量子约束的强烈限制。 当在沟道上施加 $mathbf {0.5}$ % 的应变时,在沟道方向为 $langle 110rangle $ 和 $langle 100rangle $ 的 10 nm 栅极 NS FET 中,${I}_{mathrm {mathbf {DD}}$ 将分别增加 3% 和 14%,而当应变值较大时($mathbf {0.7}$ % 和 $mathbf {1.0}$ %),增加幅度可以忽略不计。)
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引用次数: 0
Robust Bidirectional Gate Driver on Array Based on Indium Gallium Zinc Oxide Thin-Film Transistor for In-Cell Touch Displays 基于铟镓锌氧化物薄膜晶体管的阵列稳健双向栅极驱动器,用于电池内触摸显示器
IF 2 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-06-17 DOI: 10.1109/JEDS.2024.3404595
Liufei Zhou;Fuchao He;Xiaojun Guo;Haihong Wang;Mingxin Wang;Yuning Zhang;Baoping Wang
In this paper, we propose a bidirectional gate driver on array (GOA) circuit design based on indium gallium zinc oxide (IGZO) thin-film transistor (TFT) to support time-division driving method (TDDM) for in-cell touch displays. The proposed circuit allows the touch panel to pause the display for touch sensing operations to achieve a touch reporting rate as twice as the frame rate of a display. A dual low-level maintaining unit design is used to suppress influence of the threshold voltage shift of TFTs through alternately turning on the devices. Owing to recovery of threshold voltage shift under negative bias, this design can maintain stable performance during long time operation. A narrow border 6.5” in-cell LCD panel of 90 Hz display with a 180 Hz touch reporting rate is finally demonstrated.
本文提出了一种基于铟镓锌氧化物(IGZO)薄膜晶体管(TFT)的双向阵列栅极驱动器(GOA)电路设计,以支持单元内触摸显示器的时分驱动法(TDDM)。所提出的电路允许触摸屏在进行触摸感应操作时暂停显示,从而实现两倍于显示屏帧速率的触摸报告速率。采用双低电平维持单元设计,通过交替开启器件来抑制 TFT 阈值电压偏移的影响。由于阈值电压偏移在负偏压下会恢复,这种设计可以在长时间运行时保持稳定的性能。最后演示了一种窄边框 6.5" 内嵌式液晶面板,其显示频率为 90 Hz,触摸报告率为 180 Hz。
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引用次数: 0
期刊
IEEE Journal of the Electron Devices Society
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