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2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)最新文献

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Ab-initio Study of Magnetically Intercalated Tungsten Diselenide 磁插层二硒化钨的从头算研究
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241592
Peter D. Reyntjens, Sabyasachi Tiwari, M. V. D. Put, B. Sorée, W. Vandenberghe
We theoretically investigate the effect of intercalation of third row transition metals (Co, Cr, Fe, Mn, Ti and V) in the layers of WSe2. Using density functional theory (DFT), we investigate the structural stability. We also compute the DFT energies of various magnetic spin configurations. Using these energies, we construct a Heisenberg Hamiltonian and perform a Monte Carlo study on each WSe2 + intercalant system to estimate the Curie or Néel temperature. We find ferromagnetic ground states for Ti and Cr intercalation, with Curie temperatures of 31K and 225K, respectively. In Fe-intercalated WSe2, we predict that antiferromagnetic ordering is present up to 564K. For V intercalation, we find that the system exhibits a double phase transition.
我们从理论上研究了第三行过渡金属(Co, Cr, Fe, Mn, Ti和V)在WSe2层中的插层效应。利用密度泛函理论(DFT)研究了结构的稳定性。我们还计算了各种磁自旋构型的DFT能量。利用这些能量,我们构造了一个海森堡哈密顿量,并对每个WSe2 +插层体系进行了蒙特卡罗研究,以估计居里温度或nsamel温度。我们发现了Ti和Cr嵌入的铁磁基态,居里温度分别为31K和225K。在fe嵌入的WSe2中,我们预测在564K处存在反铁磁有序。对于V插层,我们发现体系呈现双相转变。
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引用次数: 0
Properties of Conductive Oxygen Vacancies and Compact Modeling of IV Characteristics in HfO2 Resistive Random-Access-Memories HfO2电阻式随机存取存储器中导电氧空位的性质及IV特性的紧凑建模
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241604
Junsung Park, Minjae Kim, Jae‐Hyung Jang, Sung-Min Hong
The HfO2-based resistive random-access-memory (RRAM) is studied. In the first part, two parameters of oxygen vacancies are extracted. The migration barrier of the oxygen vacancy (or the extended Frenkel pair) is calculated. The resistivity of a filament is also calculated. In the second part, an existing compact model for the RRAM is implemented and its results are compared with the experimental data
研究了基于hfo2的电阻式随机存取存储器(RRAM)。第一部分提取了氧空位的两个参数。计算了氧空位(或扩展的Frenkel对)的迁移势垒。还计算了灯丝的电阻率。第二部分对现有的RRAM压缩模型进行了实现,并与实验数据进行了比较
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引用次数: 0
Novel Optimization Method using Machine-learning for Device and Process Competitiveness of BCD Process 基于机器学习的BCD工艺设备与工艺竞争力优化方法
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241590
Junhyeok Kim, Jaehyun Yoo, Jaehyun Jung, Kwangtea Kim, Jae-Soon Bae, Yoon-suk Kim, Ohkyum kwon, U. Kwon, D. Kim
The novel optimization method for BCD(Bipolar-CMOS-DMOS) process development based on Machine Learning(ML) and statistical process modeling considering the entire wafer variation is proposed to improve the device and process competitiveness. The self-align PBODY process is used for high-performance N-type Lateral Diffused Metal Oxide Semiconductor(NLDMOS) in BCD process and it also is related to stability in PMIC operation. The process modeling embracing the performance and the stability of LDMOS is performed with TCAD using inline data. For the development of BCD process, the PBODY process parameters are optimized through the ML algorithms and the condition is verified with TCAD and silicon test. Finally, we can secure new low voltage NLDMOS with the improved performance and stability respectively for without any degradation in the new 0.13μm BCD process.
为了提高双极cmos - dmos制程的竞争力,提出了一种基于机器学习和统计过程建模的双极cmos - dmos制程优化方法。自对准PBODY工艺用于高性能n型横向扩散金属氧化物半导体(NLDMOS)的BCD工艺,也关系到PMIC运行的稳定性。利用内联数据,利用TCAD对LDMOS的性能和稳定性进行了过程建模。针对BCD工艺的开发,通过ML算法对PBODY工艺参数进行了优化,并通过TCAD和硅试验对条件进行了验证。最后,在0.13μm BCD工艺下,我们获得了性能和稳定性都有提高的新型低电压NLDMOS。
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引用次数: 5
Time-Resolved Mode Space based Quantum-Liouville type Equations applied onto DGFETs 基于时间分辨模式空间的量子-刘维尔型方程在dgfet上的应用
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241644
L. Schulz, D. Schulz
The investigation of a time-resolved quantum transport analysis is a major issue for the future progress in engineering tailored nanoelectronic devices. In this contribution, the time dependence is addressed along with the single-time formulation of quantum mechanics based on the von-Neumann equation in center-mass coordinates. This equation is investigated utilizing a distinct set of basis functions leading to so-called Quantum-Liouville type equations, which are combined with the mode space approximation to investigate the time-resolved behavior of double gate field effect transistors including the self-consistent Hartree potential.
时间分辨量子输运分析的研究是未来纳米电子器件工程发展的主要问题。在这一贡献中,时间依赖性与基于质心坐标中的冯-诺伊曼方程的量子力学单时间公式一起得到了解决。利用一组不同的基函数来研究该方程,从而得出所谓的量子- liouville型方程,该方程与模空间近似相结合,研究了双栅场效应晶体管的时间分辨行为,包括自一致哈特里势。
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引用次数: 4
Monte Carlo Simulation of a Three-Terminal RRAM with Applications to Neuromorphic Computing 三端RRAM的蒙特卡罗模拟及其在神经形态计算中的应用
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241659
Akhilesh Balasingam, Akash Levy, Haitong Li, Priyanka Raina
We developed a Monte Carlo simulator to compute the state-dependent I-V characteristics of three-terminal (3T) RRAM devices. State switching in these devices is modeled using a combination of vacancy migration and trap-assisted-tunneling mechanisms. We describe key elements of the simulator, compute hysteresis curves under typical voltage cycling conditions, and demonstrate agreement with experimental results. We then study the response of 2T- and 3T-RRAMs under pulsed operation and show that 3T-RRAM conductance values have both greater dynamic range than 2T-RRAMs and the potential to deliver superior inference accuracy in neuromorphic applications.
我们开发了一个蒙特卡罗模拟器来计算三端(3T) RRAM器件的状态相关I-V特性。这些器件的状态切换是用空位迁移和陷阱辅助隧道机制的组合来建模的。我们描述了模拟器的关键元件,计算了典型电压循环条件下的滞回曲线,并与实验结果吻合。然后,我们研究了2T- rram和3T-RRAM在脉冲操作下的响应,并表明3T-RRAM的电导值比2T- rram具有更大的动态范围,并且有可能在神经形态应用中提供更好的推理精度。
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引用次数: 0
Simulation and Evaluation of Plasmonic Circuits 等离子体电路的仿真与评价
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241602
M. Fukuda, Y. Ishikawa
This paper presents and discusses the modeling and evaluation of plasmonic circuits including plasmonic devices such as a multimode interferometer, mode converter, multiplexer, logic circuits, and signal transmission networks.
本文介绍并讨论了等离子体电路的建模和评估,包括等离子体器件,如多模干涉仪、模式转换器、多路复用器、逻辑电路和信号传输网络。
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引用次数: 0
SISPAD 2020 Committees
Pub Date : 2020-09-23 DOI: 10.23919/sispad49475.2020.9241620
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引用次数: 0
4-4 Effect of Unit-cell Arrangement on Performance of Multi-stage-planar Cavity-free Unileg Thermoelectric Generator Using Silicon Nanowires 4-4硅纳米线单胞排列对多级平面无腔unieg热电发生器性能的影响
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241598
Katsuki Abe, K. Oda, M. Tomita, T. Matsuki, T. Matsukawa, Takanobu Watanabe
We compare the thermoelectric (TE) performances between two types of unit cell arrangements of planar unileg TE generators of silicon-nanowire (Si-NW). The planar TE generators are driven by the temperature gradient along the Si-NW. The TE performance highly depends on how the hot and cold sides of the unit cell is oriented with respect to the neighboring cells. If the hot sides of neighboring cells are placed next to each other, TE power is improved compared to the case where the hot and cold side of TE generator is arranged alternately. Optimal conditions of Si-NW length and metal wiring structure are also discussed.
我们比较了两种平面单晶硅纳米线(Si-NW)热电发生器单晶排列方式的热电性能。平面TE发生器由Si-NW方向的温度梯度驱动。TE性能在很大程度上取决于单元电池的冷热侧相对于相邻电池的取向。如果相邻电池热侧相邻放置,相对于TE发电机冷热侧交替布置,可以提高TE功率。讨论了Si-NW长度和金属布线结构的最佳条件。
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引用次数: 0
Electromigration Model for Platinum Hotplates 铂热板的电迁移模型
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241645
L. Filipovic
Microheaters are frequently applied in the design of semiconductor metal oxide gas sensors in order to heat the sensing layer and induce the surface chemical reactions which promote molecular adsorption. One of the most common materials used for the microheater layer is platinum. In this manuscript, a model for electro-migration is developed and implemented to study vacancy dynamics and the thereby-induced stress in platinum-based microheaters for gas sensor applications. The model is then applied to study the impact of the individual components which contribute to vacancy transport, including electro-migration, thermo-migration, and stress-migration. We find that these structures have very high thermal gradients, making the impact of thermo-migration component higher than the electro-migration component in the early stages of vacancy transport, unlike in copper-based interconnects. Therefore, improving the temperature uniformity of the microheater design should lead to a longer operating time before failure.
微加热器被广泛应用于半导体金属氧化物气体传感器的设计中,其目的是加热传感层,诱发表面化学反应,促进分子吸附。用于微加热器层的最常用材料之一是铂。在本文中,开发并实施了一个电迁移模型,以研究空位动力学和由此引起的应力在铂基微加热器中的气体传感器应用。然后将该模型应用于研究导致空位迁移的各个组分的影响,包括电迁移、热迁移和应力迁移。我们发现这些结构具有非常高的热梯度,使得热迁移组分的影响在空位迁移的早期阶段高于电迁移组分,这与铜基互连不同。因此,提高微加热器设计的温度均匀性应能延长故障前的运行时间。
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引用次数: 1
Generative Model Based Adaptive Importance Sampling for Flux Calculations in Process TCAD 基于生成模型的自适应重要性抽样工艺TCAD通量计算
Pub Date : 2020-09-23 DOI: 10.23919/SISPAD49475.2020.9241615
Alexander Scharinger, P. Manstetten, A. Hössinger, J. Weinbub
A key part of advanced three-dimensional feature scale etching and deposition simulations is calculating the particle flux distributions. The most commonly applied flux calculation approach is top-down Monte Carlo which, however, introduces numerical noise. In principal, this noise can be reduced by increasing the number of simulated particles but doing so also increases the overall running time. For complex geometries, especially high aspect ratio structures, which are very prominent in state of the art three-dimensional electronic device designs, increasing the number of samples is not a viable approach: Only a very small subset of simulated particles contributes to reducing the noise in remote and obscured surface regions. We thus propose an adaptive importance sampling approach based on a generative model to more efficiently focus the sampling on those surface regions with high noise levels. We show that, for a constant number of simulated particles, our approach reduces the noise levels in the calculated flux by about 33% for a representative high aspect ratio test structure.
先进的三维特征尺度蚀刻与沉积模拟的关键部分是粒子通量分布的计算。最常用的磁通计算方法是自顶向下的蒙特卡罗方法,但该方法引入了数值噪声。原则上,可以通过增加模拟粒子的数量来减少这种噪声,但这样做也会增加总体运行时间。对于复杂的几何形状,特别是高纵横比结构,这在最先进的三维电子器件设计中非常突出,增加样本数量并不是一种可行的方法:只有很小一部分模拟粒子有助于减少遥远和模糊表面区域的噪声。因此,我们提出了一种基于生成模型的自适应重要采样方法,以更有效地将采样集中在具有高噪声水平的表面区域上。我们表明,对于一定数量的模拟粒子,我们的方法将计算通量中的噪声水平降低了约33%,用于具有代表性的高纵横比测试结构。
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引用次数: 3
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2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
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