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2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)最新文献

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Leakage Performance Improvement in Multi-Bridge-Channel Field Effect Transistor (MBCFET) by Adding Core Insulator Layer 增加核心绝缘层改善多桥道场效应晶体管(MBCFET)漏损性能
Saehoon Joung, Soyoung Kim
Altering from existing planar devices to FinFETs has revolutionized device performance, but demands of leakage and gate controllability are increasing relentlessly. Gate all around field effect transistor (GAAFET) is expected to be the next-generation device that meets these needs. This paper suggests a way to improve the gate electrostatic characteristics by adding an oxidation process to the conventional multi-bridge-channel field effect transistor (MBCFET) process. The main advantage of the proposed method is that a device with ultimate electrostatic properties can be implemented without changing the complex and expensive photo-patterning. In the proposed device, the immunity of short channel effects is enhanced in a single transistor. And the performance of ring oscillator (RO) and SRAM was confirmed to be improved by Sentaurus technology computer aided design (TCAD) mixed-mode simulation.
从现有的平面器件到finfet的转变已经彻底改变了器件的性能,但对泄漏和栅极可控性的要求也在不断增加。栅极场效应晶体管(GAAFET)有望成为满足这些需求的下一代器件。本文提出了在传统的多桥沟道场效应晶体管(MBCFET)工艺中加入氧化工艺来改善栅极静电特性的方法。该方法的主要优点是可以在不改变复杂和昂贵的光电图像化的情况下实现具有终极静电性能的器件。在该器件中,在单晶体管中增强了短通道效应的抗扰度。通过Sentaurus技术的计算机辅助设计(TCAD)混合模式仿真,验证了环形振荡器(RO)和SRAM的性能得到了改善。
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引用次数: 3
On the Simulation of Plasma Waves in HEMTs and the Dyakonov-Shur Instability hemt中等离子体波的模拟与Dyakonov-Shur不稳定性
C. Jungemann, Tobias Linn, Z. Kargar
Modeling of plasma waves in HEMTs by momentsbased transport models is investigated. The balance equations are derived from the Boltzmann transport equation by projection onto Hermitian polynomials. The discretized equations are stabilized by an approach based on matrix exponentials, which in the case of the drift-diffusion model reproduces the Scharfetter-Gummel stabilization. Simulations of a realistic HEMT show that plasma instabilities are rather unlikely to occur and that effects not considered by Dyakonov and Shur (e.g. real ohmic contacts) strongly damp the THz waves. Furthermore, quasi-ballistic transport can not be captured by higher-order models.
研究了基于矩的输运模型对hemt中等离子体波的建模。平衡方程由玻尔兹曼输运方程通过投影到厄米多项式得到。离散方程采用基于矩阵指数的方法稳定,对于漂移-扩散模型,该方法再现了Scharfetter-Gummel稳定化。对实际HEMT的模拟表明,等离子体不稳定性不太可能发生,而且Dyakonov和Shur没有考虑到的效应(例如实际欧姆接触)强烈地抑制了太赫兹波。此外,准弹道输运不能被高阶模型捕获。
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引用次数: 4
Extending the Numerov Process to the Semiconductor Transport Equations 将数字过程扩展到半导体输运方程
N. Speciale, Rossella Brunettil, M. Rudan
Some classes of differential equations are amenable to a numerical solution based on the Numerov process (NP), whose accuracy can be up to two orders of magnitude superior with respect to the standard finite-difference or box-integration methods, with a negligible increase in the computational cost. The paper shows that the equations describing charge transport in solid-state devices can suitably be manipulated to make the application of NP possible. Also, thanks to a specifically-tailored algebraic solver, the 1D Poisson equation is fully decoupled from the transport equation, this reducing the procedure to the solution of a single non-linear equation. The example of an Ovonic device is considered, used as selector in phase-change memory applications.
某些类型的微分方程适用于基于Numerov过程(NP)的数值解,其精度可以比标准有限差分或盒积分方法高出两个数量级,而计算成本的增加可以忽略不计。本文表明,描述固态器件中电荷输运的方程可以被适当地操纵,从而使NP的应用成为可能。此外,由于采用了专门定制的代数求解器,一维泊松方程与输运方程完全解耦,从而将求解过程简化为单个非线性方程。以Ovonic器件为例,在相变存储器应用中用作选择器。
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引用次数: 2
Impact of MOL/BEOL Air-Spacer on Parasitic Capacitance and Circuit Performance at 3 nm Node MOL/BEOL空气隔离器对3nm节点寄生电容和电路性能的影响
A. Pal, Sushant Mittal, E. Bazizi, A. Sachid, Mehdi Saremi, B. Colombeau, G. Thareja, Samuel Lin, B. Alexander, S. Natarajan, B. Ayyagari
Impact of air-spacer at MOL and BEOL on circuit performance at 3nm technology node is studied. Our modeling results show that by introducing air-spacer at MOL and BEOL, parasitic capacitance can be reduced by 18% and circuit performance as simulated on a 31-stage ring oscillator can be improved by 6%. Other advanced parasitic improvement technologies, such as Ruthenium, also show similar performance improvement. Finally, we show that best circuit performance is achieved when these 2 technologies are combined, yielding to a circuit performance boost of 16%.
在3nm工艺节点上,研究了在MOL和BEOL处空气间隔对电路性能的影响。模拟结果表明,通过在MOL和BEOL处引入空气间隔,寄生电容可降低18%,在31级环形振荡器上模拟的电路性能可提高6%。其他先进的寄生改进技术,如钌,也显示出类似的性能改进。最后,我们表明,当这两种技术相结合时,电路性能达到最佳,电路性能提升16%。
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引用次数: 7
Influence of Accurate Electron Drift Velocity Modelling on the Electrical Characteristics in GaN-on-Si HEMTs 精确电子漂移速度建模对GaN-on-Si hemt电学特性的影响
K. Reiser, J. Twynam, C. Eckl, H. Brech, R. Weigel
The influence of an accurate electron velocity-field relationship modelling on pulsed IV and small-signal RF characteristics in GaN-on-Si HEMTs is discussed and compared to measurements. We show by technology computer-aided design (TCAD) simulation and measurements that not only the lowfield mobility and saturation velocity are of great importance, but also the transition behaviour in between has to be modelled accurately. Experimentally, we extract the velocity-field relationship using device simulation and measured data with ultra short pulse lengths. To the best of our knowledge, this is the first study on the velocity-field relationship in GaN-on-Si devices.
讨论了精确的电子速度场关系模型对GaN-on-Si hemt中脉冲IV和小信号RF特性的影响,并与测量结果进行了比较。我们通过计算机辅助设计(TCAD)模拟和测量表明,不仅低场流度和饱和速度非常重要,而且两者之间的过渡行为也必须精确建模。实验上,我们利用器件模拟和超短脉冲测量数据提取速度场关系。据我们所知,这是对GaN-on-Si器件中速度场关系的首次研究。
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引用次数: 1
TCAD Augmented Machine Learning for Semiconductor Device Failure Troubleshooting and Reverse Engineering TCAD增强机器学习在半导体器件故障排除和逆向工程中的应用
Y. S. Bankapalli, H. Wong
In this paper, we show the possibility of using Technology Computer Aided Design (TCAD) to assist machine learning for semiconductor device failure trouble shooting and device reverse engineering. When TCAD simulation models and parameters are properly chosen and calibrated, large number of devices with random defects and structural characteristics can be generated and simulated. The results can then be used to train machine learning algorithms to predict the defect and structural characteristics of a device with given electrical characteristics (such as IV’s and CV’s). 1D PIN diode with various layer thicknesses and doping concentrations are used in this study. It is showed that with less than 2000 training samples, by using simple linear regression, one can achieve good prediction of layer thickness and doping of a given IV curve.
在本文中,我们展示了使用技术计算机辅助设计(TCAD)来协助半导体器件故障故障排除和器件逆向工程的机器学习的可能性。通过正确选择和标定TCAD仿真模型和参数,可以生成和模拟大量具有随机缺陷和结构特征的器件。然后,结果可用于训练机器学习算法,以预测具有给定电特性(如IV和CV)的设备的缺陷和结构特征。本研究采用了不同层厚和掺杂浓度的一维PIN二极管。结果表明,在小于2000个训练样本的情况下,通过简单的线性回归,可以很好地预测给定IV曲线的层厚和掺杂情况。
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引用次数: 31
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2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
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