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First Demonstration of Complementary FinFETs and Tunneling FinFETs Co-Integrated on a 200 mm GeSnOI Substrate: A Pathway towards Future Hybrid Nano-electronics Systems 互补finfet和隧道finfet在200 mm GeSnOI衬底上的首次演示:通往未来混合纳米电子系统的途径
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776539
Kaizhen Han, Ying Wu, Y. Huang, Shengqiang Xu, Annie Kumar, E. Kong, Yuye Kang, Jishen Zhang, Chengkuan Wang, Haiwen Xu, Chen Sun, X. Gong
For the first time, complementary FinFETs and complementary tunneling FinFETs (TFFETs), with fin width $(W_{Fin})$ of 20 nm and fin height $(H_{{fin}})$ of 50 nm, were co-integrated on the same substrate, enabled by the formation of high-quality GeSn-on-insulator (GeSnOI) substrate with 200 mm wafer size. Decent electrical characteristics were realized for both GeSn n-and p-channel FinFETs and TFFETs. We also performed simulation studies to show the promise of the GeSnOI platform, which is not only able to suppress the off-state leakage current and improve the $I_{on}/I_{off}$ ratio of tunneling FETs, but can also provide the powerful flexibility of using a back bias to achieve superior electrical characteristics beyond the benefits of incorporating Sn into Ge.
通过形成200 mm晶圆尺寸的高质量GeSnOI衬底,首次将翅片宽度$(W_{fin})$为20 nm,翅片高度$(H_{{fin}})$为50 nm的互补finfet和互补隧道finfet (tffet)在同一衬底上共集成。GeSn n沟道和p沟道finfet以及tffet均实现了良好的电特性。我们还进行了仿真研究,以显示GeSnOI平台的前景,该平台不仅能够抑制关态泄漏电流,提高隧道fet的$ i {on}/ $ i {off}}比值,而且还可以提供强大的灵活性,使用反偏置来实现超越将Sn加入Ge的好处的优越电气特性。
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引用次数: 6
Biologically Plausible Ferroelectric Quasi-Leaky Integrate and Fire Neuron 生物学上似是而非的铁电准漏积分与放电神经元
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776487
S. Dutta, A. Saha, P. Panda, W. Chakraborty, J. Gomez, A. Khanna, S. Gupta, K. Roy, S. Datta
Biologically plausible mechanism like homeostasis compliments Hebbian learning to allow unsupervised learning in spiking neural networks [1]. In this work, we propose a novel ferroelectric-based quasi-LIF neuron that induces intrinsic homeostasis. We experimentally characterize and perform phase-field simulations to delineate the non-trivial transient polarization relaxation mechanism associated with multi-domain interaction in poly-crystalline ferroelectric, such as Zr doped $text{HfO}_{2}$, that underlines the Q-LIF behavior. Network level simulations with the Q-LIF neuron model exhibits a 2.3x reduction in firing rate compared to traditional LIF neuron while maintaining iso-accuracy of 84-85% across varying network sizes. Such an energy-efficient hardware for spiking neuron can enable ultra-low power data processing in energy constrained environments suitable for edge-intelligence.
生物学上似是而非的机制,如内稳态,使赫比式学习得以在尖峰神经网络中实现无监督学习。在这项工作中,我们提出了一种新的基于铁电的准lif神经元,可以诱导内在稳态。我们通过实验表征并进行相场模拟来描述多晶铁电中与多畴相互作用相关的非平凡瞬态极化弛豫机制,例如Zr掺杂$text{HfO}_{2}$,强调Q-LIF行为。使用Q-LIF神经元模型进行的网络级模拟显示,与传统的LIF神经元相比,放电率降低了2.3倍,同时在不同网络大小的情况下保持84-85%的等精度。这种高效能的尖峰神经元硬件可以在能量受限的环境中实现适合边缘智能的超低功耗数据处理。
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引用次数: 16
A Novel Confined Nitride-Trapping Layer Device for 3D NAND Flash with Robust Retention Performances 一种具有鲁棒保留性能的三维NAND闪存受限氮捕获层器件
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776572
C. Fu, H. Lue, T. Hsu, Wei-Chen Chen, Guan-Ru Lee, C. Chiu, Keh-Chung Wang, Chih-Yuan Lu
For the first time, we've fabricated a confined nitride (SiN) trapping layer device for 3D NAND Flash and demonstrated excellent post-cycling retention performances. The key process step is to develop a uniform sidewall lateral recess in the 3D stack, followed by a SiN pull back process to isolate the SiN trapping layer in a self-aligned way. Excellent retention with only ~600mV shift of charge loss (out of initial 7V window) after 125C 1-week high-temp baking for a post 1K cycled device was obtained. It is far superior to the control sample without confined SiN structure. Arrhenius analysis at various baking temperatures shows that the retention may pass> 100 years at 60C, and is even longer at room temperature. The device has potential to meet the low-cost long-retention archive memory applications.
我们首次为3D NAND闪存制作了一个受限氮化物(SiN)捕获层器件,并展示了良好的循环后保留性能。关键的工艺步骤是在3D叠层中形成一个均匀的侧壁侧向隐窝,然后进行SiN回拉过程,以自对齐的方式隔离SiN捕获层。在125C高温烘烤1周后的1K循环器件,获得了优异的保持性能,电荷损失只有~600mV的位移(在初始7V窗口外)。其性能远优于无受限SiN结构的对照样品。在不同烘烤温度下的阿伦尼乌斯分析表明,在60℃时,其保存期可达100 ~ 100年,在室温下保存期更长。该设备具有满足低成本长保留归档内存应用的潜力。
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引用次数: 6
In-memory Reinforcement Learning with Moderately-Stochastic Conductance Switching of Ferroelectric Tunnel Junctions 铁电隧道结中随机电导开关的记忆强化学习
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776500
R. Berdan, T. Marukame, S. Kabuyanagi, K. Ota, M. Saitoh, S. Fujii, J. Deguchi, Y. Nishi
Building compact and efficient reinforcement learning (RL) systems for mobile deployment requires departure from the von-Neumann computing architecture and embracing novel in-memory computing, and local learning paradigms. We exploit nano-scale ferroelectric tunnel junction (FTJ) memristors with inherent analogue stochastic switching arranged in selector-less crossbars to demonstrate an analogue in-memory RL system, which, via a hardware-friendly algorithm, is capable of learning behavior policies. We show that commonly undesirable stochastic conductance switching is actually, in moderation, a beneficial property which promotes policy finding via a process akin to random search. We experimentally demonstrate path-finding based on reinforcement, and solve a standard control problem of balancing a pole on a cart via simulation, outperforming similar deterministic RL systems.
为移动部署构建紧凑高效的强化学习(RL)系统需要脱离冯-诺伊曼计算架构,并采用新颖的内存计算和本地学习范式。我们利用纳米级铁电隧道结(FTJ)忆阻器,其固有的模拟随机开关布置在无选择器的横条中,以演示模拟内存RL系统,该系统通过硬件友好的算法,能够学习行为策略。我们表明,通常不受欢迎的随机电导切换实际上是一个有益的特性,它通过类似于随机搜索的过程促进策略发现。我们通过实验证明了基于强化的寻径,并通过仿真解决了平衡推车上的极点的标准控制问题,优于类似的确定性强化学习系统。
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引用次数: 16
Evidence of filamentary switching and relaxation mechanisms in GexSe1-xOTS selectors GexSe1-xOTS选择器中丝状开关和松弛机制的证据
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776566
Z. Chai, W. Zhang, R. Degraeve, S. Clima, F. Hatem, J. F. Zhang, P. Freitas, J. Marsland, A. Fantini, D. Garbin, L. Goux, G. Kar
Comprehensive experimental and simulation evidence of the filamentary-type switching and Vth relaxation mechanism associated with defect charging/discharging in GexSe1-xovonic threshold switching (OTS) selector is reported. For the first time, area independence of conduction current at both on/off states, Weibull distribution of time-to-switch-on/off (t-on/off), Vth relaxation and its dependence on time, bias and temperature, which is in good agreement with our first-principles simulations in density functional theory, provide strong support for filament modulation by defect delocalzation/localization that is responsible for volatile switching.
本文报道了GexSe1-xovonic阈值开关(OTS)选择器中与缺陷充放电相关的丝状开关和Vth弛豫机制的综合实验和仿真证据。导通电流在开/关状态下的面积无关性、开/关时间(t-on/off)的威布尔分布、Vth弛豫及其对时间、偏置和温度的依赖,首次与我们在密度泛函理论中的第一性原理模拟很好地吻合,为挥发性开关的缺陷离域/局部化灯丝调制提供了强有力的支持。
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引用次数: 16
Monolithic Three-Dimensional Imaging System: Carbon Nanotube Computing Circuitry Integrated Directly Over Silicon Imager 单片三维成像系统:碳纳米管计算电路直接集成在硅成像仪上
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776514
T. Srimani, G. Hills, C. Lau, M. Shulaker
Here we show a hardware prototype of a monolithic three-dimensional (3D) imaging system that integrates computing layers directly in the back-end-of-line (BEOL) of a conventional silicon imager. Such systems can transform imager output from raw pixel data to highly processed information. To realize our imager, we fabricate 3 vertical circuit layers directly on top of each other: a bottom layer of silicon pixels followed by two layers of CMOS carbon nanotube FETs (CNFETs) (comprising 2,784 CNFETs) that perform in-situ edge detection in real-time, before storing data in memory. This approach promises to enable image classification systems with improved nrocessing latencies.
在这里,我们展示了一个单片三维(3D)成像系统的硬件原型,该系统将计算层直接集成在传统硅成像仪的后端(BEOL)中。这样的系统可以将成像仪输出从原始像素数据转换为高度处理的信息。为了实现我们的成像仪,我们直接在彼此的顶部制作了3个垂直电路层:底层是硅像素,然后是两层CMOS碳纳米管场效应管(cnfet)(包括2,784个cnfet),在将数据存储到存储器之前,它们可以实时进行原位边缘检测。这种方法有望使图像分类系统具有改进的处理延迟。
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引用次数: 12
A record GmSAT/SSSAT and PBTI reliability in Si-passivated Ge nFinFETs by improved gate stack surface preparation 通过改进栅极堆表面制备,在si钝化Ge nfinfet中实现了创纪录的GmSAT/SSSAT和PBTI可靠性
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776535
H. Arimura, D. Cott, G. Boccardi, R. Loo, K. Wostyn, S. Brus, E. Capogreco, A. Opdebeeck, L. Witters, T. Conard, S. Suhard, D. V. van Dorp, K. Kenis, L. Ragnarsson, J. Mitard, F. Holsteyns, V. De Heyn, D. Mocuta, N. Collaert, N. Horiguchi
We have demonstrated Ge nFinFETs with a record high $text{G}_{text{mSA}Gamma}/text{SS}_{text{SAT}}$ and PBTI reliability by improving the RMG high-k last process. The SiO2 dummy gate oxide (DGO) deposition and removal processes have been identified as knobs to improve electron mobility and PBTI reliability even with a nominally identical Si-passivated Ge gate stack. Surface oxidation of Ge channel during the DGO deposition is considered to impact the final gate stack. By suppressing the Ge channel surface oxidation, increasing mobility with decreasing fin width is obtained, whereas PBTI reliability, $text{D}_{text{IT}}$ of scaled fin as well as high-field mobility are improved by extending the DGO in-situ clean process, resulting in the record $text{Gm}_{text{SAT}}/text{SS}_{text{SAT}}$ of 5.4 at 73 nm Lg.
我们通过改进RMG高k末制程,展示了具有创纪录高$text{G}_{text{mSA}Gamma}/text{SS}_{text{SAT}}$和PBTI可靠性的Ge nfinfet。SiO2虚拟栅氧化物(DGO)的沉积和去除过程被认为是提高电子迁移率和PBTI可靠性的关键,即使是在名义上相同的si钝化Ge栅堆上。在DGO沉积过程中,锗通道的表面氧化被认为会影响最终的栅堆。通过抑制Ge通道表面氧化,可以获得随翅片宽度减小而增加的迁移率,而通过扩展DGO原位清洁工艺可以提高PBTI可靠性、扩展后翅片的$text{D}_{text{IT}}$以及高场迁移率,在73 nm Lg处获得了$text{Gm}_{text{SAT}}/text{SS}_{text{SAT}}$ 5.4的记录。
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引用次数: 8
First demonstration of 40-nm channel length top-gate WS2 pFET using channel area-selective CVD growth directly on SiOx/Si substrate 首次在SiOx/Si衬底上使用沟道面积选择性CVD生长的40 nm沟道长度顶栅WS2 pet
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776498
Chao-Ching Cheng, Yun-Yan Chung, Uing-Yang Li, Chao-Ting Lin, Chi-Feng Li, Jyun-Hong Chen, T. Lai, Kai-Shin Li, J. Shieh, S. Su, H. Chiang, Tzu-Chiang Chen, Lain‐Jong Li, H. P. Wong, C. Chien
Area-selective channel material growth for 2D transistors is more desirable for volume manufacturing than exfoliation or wet/dry transfer after large area growth. We demonstrate the first top-gate WS2 p-channel field-effect transistors (p-FETs) fabricated on SiOx/Si substrate using channel area-selective CVD growth. Smooth and uniform WS2 comprising approximately 6 layers was formed by area-selective CVD growth in which a patterned tungsten-source/drain served as the seed for WS2 growth. For a 40 nm gate length transistor, the device has impressive electrical characteristics: on/off ratio of ~106, a S.S. of ~97 mV/dec., and nearly zero DIBL.
相对于大面积生长后的剥离或湿/干转移,二维晶体管的面积选择性沟道材料生长更适合批量生产。我们展示了第一个顶栅WS2 p沟道场效应晶体管(p- fet),采用沟道面积选择性CVD生长在SiOx/Si衬底上制造。通过面积选择性CVD生长,形成了光滑均匀的WS2,其中有图案的钨源/漏作为WS2生长的种子。对于40 nm栅长晶体管,该器件具有令人印象深刻的电气特性:开/关比为~106,S.S.为~97 mV/dec。, DIBL几乎为零。
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引用次数: 19
The Future of Advanced Package Solutions 先进封装解决方案的未来
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776536
Dae-woo Kim, Taejoo Hwang
As the 4th industry revolution emerges into the semiconductor industry, high computing power and high data bandwidth are required for semiconductor devices. These demands lead to the adaption of the advanced packaging technology. For mobile application, fan-out technologies are used for smart phones due to small form factors and thermal performances. For server applications, 2.5D and 3D technologies are employed for cloud and artificial intelligence in terms of high memory bandwidth and a big die. However, there are two significant issues to resolve for advanced packaging. One is a thermal issue and the other is an electrical issue. Novel thermal materials and package structures are expected to improve the thermal performances. Redistribution substrate and through silicon via will reduce electrical loss for high speed signals. In this paper, we will investigate how the packaging technologies evolve in the future.
随着第四次工业革命进入半导体行业,对半导体器件提出了高计算能力和高数据带宽的要求。这些需求导致了对先进封装技术的适应。在移动应用方面,由于外形小巧,散热性能好,扇出技术被用于智能手机。对于服务器应用,在高内存带宽和大芯片方面,云计算和人工智能采用2.5D和3D技术。然而,有两个重要的问题需要解决的先进封装。一个是热问题,另一个是电问题。新的热材料和封装结构有望改善热性能。再分配衬底和硅通孔将减少高速信号的电损耗。在本文中,我们将探讨包装技术在未来的发展。
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引用次数: 2
Self-Allancd Gate Contact (SAGC) for CMOS technology scaling beyond 7nm 自贴合栅极触点(SAGC)的CMOS技术的规模超过7nm
Pub Date : 2019-06-09 DOI: 10.23919/VLSIT.2019.8776492
R. Xie, Chanro Park, R. Conti, R. Robison, Huimei Zhou, I. Saraf, A. Carr, S. Fan, K. Ryan, M. Belyansky, S. Pancharatnam, A. Young, Junli Wang, A. Greene, K. Cheng, Juntao Li, R. Conte, Hao Tang, K. Choi, H. Amanapu, B. Peethala, R. Muthinti, M. Raymond, C. Prindle, Yong Liang, S. Tsai, V. Kamineni, A. Labonté, N. Cave, D. Gupta, V. Basker, N. Loubet, D. Guo, B. Haran, A. Knorr, H. Bu
We demonstrate a novel self-aligned gate contact (SAGC) scheme with conventional oxide/nitride materials that allows superior process integration for scaling while simplifying the SRAM cross-couple wiring. We show that the key feature to avoid both gate-contact (CB) to source-drain local interconnect (LI) shorts and the LI-contact (CA) to gate shorts is the shape of the LI cap. A trapezoid-shaped oxide (SiO2) LI cap with an appropriate taper angle eliminates shorting between the contacts in the gate and source-drain region. We further demonstrate that this oxide LI cap is fully compatible with Cobalt (Co) metallization with a novel selective tungsten (W) growth process. Additionally, this process enables the SRAM cross-couple (XC) in the same metallization level, eliminating the need for an upper level wiring and greatly simplifying routing in the SRAM cell.
我们展示了一种采用传统氧化物/氮化物材料的新型自对准栅极接触(SAGC)方案,该方案允许在简化SRAM交叉耦合布线的同时实现卓越的工艺集成。研究表明,避免栅极触点(CB)到源漏局部互连(LI)短路和LI触点(CA)到栅极短路的关键特征是LI帽的形状。具有适当锥度的梯形氧化物(SiO2) LI帽可消除栅极和源漏区域触点之间的短路。我们进一步证明了这种氧化物LI帽与钴(Co)金属化完全兼容,并采用了一种新的选择性钨(W)生长工艺。此外,该工艺使SRAM交叉耦合(XC)处于相同的金属化水平,消除了对上层布线的需要,并大大简化了SRAM单元中的路由。
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引用次数: 4
期刊
2019 Symposium on VLSI Technology
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