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Electrical Properties of Ultra Thin Nitride/Oxynitride Stack Dielectrics pMOS Capacitor with Refractory Metal Gate
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作者 钟兴华 吴峻峰 +1 位作者 杨建军 徐秋霞 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2005年第4期651-655,共5页
Electrical properties of high quality ultra thin nitride/oxynitride(N/O)stack dielectrics pMOS capacitor with refractory metal gate electrode are investigated,and ultra thin (<2 nm) N/O stack gate dielectrics with ... Electrical properties of high quality ultra thin nitride/oxynitride(N/O)stack dielectrics pMOS capacitor with refractory metal gate electrode are investigated,and ultra thin (<2 nm) N/O stack gate dielectrics with significant low leakage current and high resistance to boron penetration are fabricated.Experiment results show that the stack gate dielectric of nitride/oxynitride combined with improved sputtered tungsten/titanium nitride (W/TiN) gate electrode is one of the candidates for deep sub-micron metal gate CMOS devices. 展开更多
关键词 equivalent oxide thickness nitride/oxynitride gate dielectric stack high k boron-penetration metal gate
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A High Performance Sub-100nm Nitride/Oxynitride Stack Gate Dielectric CMOS Device with Refractory W/TiN Metal Gates
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作者 钟兴华 周华杰 +1 位作者 林钢 徐秋霞 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2006年第3期448-453,共6页
By complementing the equivalent oxide thickness (EOT) of a 1.7nm nitride/oxynitride (N/O) stack gate dielectric (EOT- 1.7nm) with a W/TiN metal gate electrode,metal gate CMOS devices with sub-100nm gate length a... By complementing the equivalent oxide thickness (EOT) of a 1.7nm nitride/oxynitride (N/O) stack gate dielectric (EOT- 1.7nm) with a W/TiN metal gate electrode,metal gate CMOS devices with sub-100nm gate length are fabricated in China for the first time. The key technologies adopted to restrain SCE and to improve drive ability include a 1.7nm N/O stack gate dielectric, non-CMP planarization technology, a T-type refractory W/TiN metal stack gate electrode, and a novel super steep retrograde channel doping using heavy ion implantation and a double sidewall scheme. Using these optimized key technologies, high performance 95nm metal gate CMOS devices with excellent SCE and good driving ability are fabricated. Under power supply voltages of VDS ± 1.5V and VGS± 1.8V,drive currents of 679μA/μm for nMOS and - 327μA/μm for pMOS are obtained. A subthreshold slope of 84.46mV/dec, DIBL of 34.76mV/V, and Vth of 0.26V for nMOS, and a subthreshold slope of 107.4mV/dec,DIBL of 54.46mV/V, and Vth of 0.27V for pMOS are achieved. These results show that the combined technology has indeed thoroughly eliminated the boron penetration phenomenon and polysilicon depletion effect ,effectively reduced gate tunneling leakage, and improved device reliability. 展开更多
关键词 equivalent oxide thickness nitride/oxynitride gate dielectric stack W/TiN metal gate non-CMP planarization
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融合Stacking框架的BiGRU-LGB云负载预测模型 被引量:2
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作者 刘惠 董锡耀 杨志涵 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2023年第3期83-94,104,共13页
随着云计算技术的飞速发展,越来越多的用户将应用部署在云平台上.。平台内集群资源的调度可以提高云平台数据中心的实际利用率,而高效的云平台负载预测是解决集群资源调度问题的关键技术,因此本文建立了一种融合Stacking框架、多层BiGR... 随着云计算技术的飞速发展,越来越多的用户将应用部署在云平台上.。平台内集群资源的调度可以提高云平台数据中心的实际利用率,而高效的云平台负载预测是解决集群资源调度问题的关键技术,因此本文建立了一种融合Stacking框架、多层BiGRU网络和LightGBM算法的云负载预测模型。该模型的结构主要包括两种学习器:首先是初级学习器,使用时间编码层处理原始负载序列并利用BiGRU网络参数少、信息学习完整的特点减少模型训练时间和隐藏层数,学习负载序列中的时间维度信息;使用经过特征工程处理的原始负载序列来高效训练LightGBM算法,学习负载序列中的特征维度信息。然后是次级学习器,利用GRU网络整合时间和特征维度的负载信息,完成整个负载预测模型的训练。通过两层学习器的共同学习提高整体负载预测模型的预测精度。在华为云集群数据集上进行实验,结果表明,与传统的单一预测模型BiGRU、LightGBM等以及现有的组合预测模型GRU-LSTM相比,融合Stacking的BiGRU-LGB模型的预测精度提升约13%,训练时间开销得到一定程度的降低。 展开更多
关键词 云平台 负载预测 双向门控循环单元 LightGBM stacking集成框架
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Challenges in Atomic-Scale Characterization of High-k Dielectrics and Metal Gate Electrodes for Advanced CMOS Gate Stacks 被引量:1
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作者 Xinhua Zhu Jian-min Zhu Aidong Li Zhiguo Liu Naiben Ming 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2009年第3期289-313,共25页
The decreasing feature sizes in complementary metal-oxide semiconductor (CMOS) transistor technology will require the replacement of SiO2 with gate dielectrics that have a high dielectric constant (high-k) because... The decreasing feature sizes in complementary metal-oxide semiconductor (CMOS) transistor technology will require the replacement of SiO2 with gate dielectrics that have a high dielectric constant (high-k) because as the SiO2 gate thickness is reduced below 1.4 nm, electron tunnelling effects and high leakage currents occur in SiO2, which present serious obstacles to future device reliability. In recent years significant progress has been made on the screening and selection of high-k gate dielectrics, understanding their physical properties, and their integration into CMOS technology. Now the family of hafnium oxide-based materials has emerged as the leading candidate for high-k gate dielectrics due to their excellent physical properties. It is also realized that the high-k oxides must be implemented in conjunction with metal gate electrodes to get sufficient potential for CMOS continue scaling. In the advanced nanoscale Si-based CMOS devices, the composition and thickness of interfacial layers in the gate stacks determine the critical performance of devices. Therefore, detailed atomic- scale understandings of the microstructures and interfacial structures built in the advanced CMOS gate stacks, are highly required. In this paper, several high-resolution electron, ion, and photon-based techniques currently used to characterize the high-k gate dielectrics and interfaces at atomic-scale, are reviewed. Particularly, we critically review the research progress on the characterization of interface behavior and structural evolution in the high-k gate dielectrics by high-resolution transmission electron microscopy (HRTEM) and the related techniques based on scanning transmission electron microscopy (STEM), including high-angle annular dark- field (HAADF) imaging (also known as Z-contrast imaging), electron energy-loss spectroscopy (EELS), and energy dispersive X-ray spectroscopy (EDS), due to that HRTEM and STEM have become essential metrology tools for characterizing the dielectric gate stacks in the present and future generations of CMOS devices. In Section 1 of this review, the working principles of each technique are briefly introduced and their key features are outlined. In Section 2, microstructural characterizations of high-k gate dielectrics at atomic-scale by electron microscopy are critically reviewed by citing some recent results reported on high-k gate dielectrics. In Section 3, metal gate electrodes and the interfacial structures between high-k dielectrics and metal gates are discussed. The electron beam damage effects in high-k gate stacks are also evaluated, and their origins and prevention are described in Section 4. Finally, we end this review with personal perspectives towards the future challenges of atomic-scale material characterization in advanced CMOS gate stacks. 展开更多
关键词 High-k gate dielectrics Metal gate electrodes CMOS gate stack HRTEM STEM
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Study on two-dimensional analytical models for symmetrical gate stack dual gate strained silicon MOSFETs 被引量:1
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作者 李劲 刘红侠 +2 位作者 李斌 曹磊 袁博 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第10期492-498,共7页
Based on the exact resultant solution of two-dimensional Poisson's equation, the novel two-dimensional models, which include surface potential, threshold voltage, subthreshold current and subthreshold swing, have bee... Based on the exact resultant solution of two-dimensional Poisson's equation, the novel two-dimensional models, which include surface potential, threshold voltage, subthreshold current and subthreshold swing, have been developed for gate stack symmetrical double-gate strained-Si MOSFETs. The models are verified by numerical simulation. Besides offering the physical insight into device physics, the model provides the basic designing guidance of further immunity of short channel effect of complementary metal-oxide-semiconductor (CMOS)-based device in a nanoscale regime. 展开更多
关键词 STRAINED-SI gate stack double-gate MOSFETs short channel effect the drain-inducedbarrier-lowering
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A two-dimensional analytical modeling for channel potential and threshold voltage of short channel triple material symmetrical gate Stack(TMGS) DG-MOSFET
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作者 Shweta Tripathi 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第10期518-524,共7页
In the present work, a two-dimensional(2D) analytical framework of triple material symmetrical gate stack(TMGS)DG-MOSFET is presented in order to subdue the short channel effects. A lightly doped channel along wit... In the present work, a two-dimensional(2D) analytical framework of triple material symmetrical gate stack(TMGS)DG-MOSFET is presented in order to subdue the short channel effects. A lightly doped channel along with triple material gate having different work functions and symmetrical gate stack structure, showcases substantial betterment in quashing short channel effects to a good extent. The device functioning amends in terms of improved exemption to threshold voltage roll-off, thereby suppressing the short channel effects. The encroachments of respective device arguments on the threshold voltage of the proposed structure are examined in detail. The significant outcomes are compared with the numerical simulation data obtained by using 2D ATLAS;device simulator to affirm and formalize the proposed device structure. 展开更多
关键词 triple material symmetrical gate stack(TMGS) DG MOSFET gate stack short channel effect drain induced barrier lowering threshold voltage
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Oxygen Scavenging Effect of LaLuO_3/TiN Gate Stack in High-Mobility Si/SiGe/SOI Quantum-Well Transistors
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作者 冯锦锋 刘畅 +1 位作者 俞文杰 彭颖红 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第5期108-110,共3页
Higher-s dielectric LaLuO3, deposited by molecular beam deposition, with TiN as gate stack is integrated into high-mobility Si/SiGe/SOI quantum-well p-type metal-oxide-semiconduetor field effect transistors. Threshold... Higher-s dielectric LaLuO3, deposited by molecular beam deposition, with TiN as gate stack is integrated into high-mobility Si/SiGe/SOI quantum-well p-type metal-oxide-semiconduetor field effect transistors. Threshold voltage shift and capacitance equivalent thickness shrink are observed, resulting from oxygen scavenging effect in LaLuO3 with ti-rich TiN after high temperature annealing. The mechanism of oxygen scavenging and its potential for resistive memory applications are analyzed and discussed. 展开更多
关键词 SOI SiGe TIN Oxygen Scavenging Effect of LaLuO3/TiN gate stack in High-Mobility Si/SiGe/SOI Quantum-Well Transistors of in gate
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High dielectric constant materials and their application to IC gate stack systems
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作者 屠海令 《广东有色金属学报》 2005年第2期42-48,共7页
High dielectric constant (high-k) materials are vital to the nanoelectronic devices. The paper reviews research development of high-k materials, describes a variety of manufacture technologies and discusses the applic... High dielectric constant (high-k) materials are vital to the nanoelectronic devices. The paper reviews research development of high-k materials, describes a variety of manufacture technologies and discusses the application of the gate stack systems to non-classical device structures. 展开更多
关键词 二氧化硅 电介质 绝缘体 绝缘材料
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基于CEEMDAN-SBiGRU-OMHA的短期电力负荷预测
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作者 包广斌 刘晨 +2 位作者 张波 沈治名 罗曈 《计算机系统应用》 2024年第10期124-132,共9页
为了提高短期电力负荷预测的精准度,充分挖掘电力负荷数据的复杂相关性,提出了一种优化多头注意力机制的CEEMDAN-SBiGRU组合预测模型,改进了特征提取和特征融合两个模块.首先,采用自适应噪声完全集成经验模态分解(complete ensemble emp... 为了提高短期电力负荷预测的精准度,充分挖掘电力负荷数据的复杂相关性,提出了一种优化多头注意力机制的CEEMDAN-SBiGRU组合预测模型,改进了特征提取和特征融合两个模块.首先,采用自适应噪声完全集成经验模态分解(complete ensemble empirical mode decomposition with adaptive noise,CEEMDAN)将电力负荷数据分解成多个内在模态函数(IMF)和一个残差信号(RES);同时引入降噪自编码器DAE挖掘数据中受气象因素、工作日类型和温度变化的潜在特征.其次,将提取到的复杂特征输入至堆叠双向门控循环单元(stacked bidirectional gated recurrent unit,SBiGRU)模块中继续学习,以获取隐藏状态.最后,将获取的隐藏状态输入至加入残差机制和层归一化优化的多头注意力(optimized multi-head attention,OMHA)机制模块,可以准确地给重要特征分配更高的权重,解决噪声干扰问题.实验结果表明,CEEMDAN-SBiGRU-OMHA组合模型具有更高的精确性. 展开更多
关键词 短期电力负荷预测 自适应噪声完全集成经验模态分解(CEEMDAN) 堆叠双向门控循环单元(SBiGRU) 降噪自编码器 优化的多头注意力(OMHA)
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基于堆叠稀疏去噪自编码器的混合入侵检测方法
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作者 田世林 李焕洲 +2 位作者 唐彰国 张健 李其臻 《四川师范大学学报(自然科学版)》 CAS 2024年第4期517-527,共11页
针对高维数据场景下传统入侵检测方法特征提取困难、检测准确率低等问题,提出一种集成多种深度学习模型的混合入侵检测方法.该方法由特征降维算法和混合检测模型2部分组成.首先,利用堆叠稀疏去噪自编码器对原始数据进行特征降维,从而剔... 针对高维数据场景下传统入侵检测方法特征提取困难、检测准确率低等问题,提出一种集成多种深度学习模型的混合入侵检测方法.该方法由特征降维算法和混合检测模型2部分组成.首先,利用堆叠稀疏去噪自编码器对原始数据进行特征降维,从而剔除可能存在的噪声干扰和冗余信息.然后,采用一维卷积神经网络和双向门控循环单元学习数据中的空间维度特征和时序维度特征,将融合后的空时特征通过注意力分配不同的权重系数,从而使有用的信息得到更好表达,再经由全连接层训练后进行分类.为检验方案的可行性,在UNSW-NB15数据集上进行验证.结果表明,该模型与其他同类型入侵检测算法相比,拥有更优秀的检测性能,其准确率达到99.57%,误报率仅为0.68%. 展开更多
关键词 异常检测 注意力机制 堆叠稀疏去噪自编码器 一维卷积神经网络 双向门控循环单元
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基于融合模型的网络安全态势感知方法
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作者 郭尚伟 刘树峰 +3 位作者 李子铭 欧阳德强 王宁 向涛 《计算机工程》 CAS CSCD 北大核心 2024年第11期1-9,共9页
伴随着网络技术的飞速发展,网络安全面临的风险也日益增加,网络攻击呈现复杂化、多样化的特征,给现有网络攻击应对措施带来了巨大挑战。态势感知技术作为一种新兴概念,为网络安全领域带来了新的思路。针对现有网络安全态势感知方法存在... 伴随着网络技术的飞速发展,网络安全面临的风险也日益增加,网络攻击呈现复杂化、多样化的特征,给现有网络攻击应对措施带来了巨大挑战。态势感知技术作为一种新兴概念,为网络安全领域带来了新的思路。针对现有网络安全态势感知方法存在数据特征提取及较长时间序列数据处理能力不足的问题,提出一种融合堆栈稀疏自编码器(SSAE)、卷积神经网络(CNN)、双向门控循环单元(BiGRU)和注意力机制(AM)的模型。通过SSAE和CNN提取数据特征,利用AM强化BiGRU对关键信息的关注度,实现对异常流量的攻击类别判定,并结合网络安全态势量化指标,对网络安全态势进行量化评分并划分等级。实验结果表明,融合模型在各项指标上均优于传统深度学习模型,能够准确感知网络态势。 展开更多
关键词 态势感知 威胁检测 堆叠稀疏自编码器 卷积神经网络 双向门控循环单元 注意力机制
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基于Stacking多GRU模型的风电场短期功率预测 被引量:3
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作者 高金兰 李豪 +1 位作者 段玉波 王宏建 《吉林大学学报(信息科学版)》 CAS 2020年第4期482-490,共9页
为提高风电场短期功率预测的准确度,在深度学习的基础上提出利用Stacking算法集成融合多个GRU(Gated Recurrent Unit)模型的风电场短期功率预测的方法。该方法首先搭建3个多层GRU神经网络模型建立第1级模型,深度提取高维的时序特征关系... 为提高风电场短期功率预测的准确度,在深度学习的基础上提出利用Stacking算法集成融合多个GRU(Gated Recurrent Unit)模型的风电场短期功率预测的方法。该方法首先搭建3个多层GRU神经网络模型建立第1级模型,深度提取高维的时序特征关系,通过第1级模型的预测结果构建训练集,然后利用新生成的训练集训练第2级GRU模型,第2级的GRU模型采用单层结构,能发现并且纠正第1级模型中的预测误差,提升整体的预测结果。最终得到两级模型嵌入的Stacking融合模型。以宁夏太阳山风电场历史数据为例对该模型的准确性进行验证。实验结果表明,通过Stacking算法融合的GRU模型相比其他算法预测平均绝对百分比误差提高了0.63,总体预测效果较为理想,预测准确度提升明显。 展开更多
关键词 GRU神经网络 深度学习 stacking集成算法 风功率预测 风电场
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基于MRSDAE-SOM结合HGRU的滚动轴承RUL预测
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作者 陈家芳 刘钰凡 吴朗 《现代制造工程》 CSCD 北大核心 2024年第3期148-155,53,共9页
基于传统方法预测轴承剩余使用寿命(Residual Useful Life,RUL),步骤繁多,成本昂贵,且模型不具泛化性。现有的基于深度学习(Deep Learning,DL)的预测方法,由于数据量过大,经常导致模型出现过拟合现象,从而使模型精度不高。为了克服以上... 基于传统方法预测轴承剩余使用寿命(Residual Useful Life,RUL),步骤繁多,成本昂贵,且模型不具泛化性。现有的基于深度学习(Deep Learning,DL)的预测方法,由于数据量过大,经常导致模型出现过拟合现象,从而使模型精度不高。为了克服以上缺点,提出一种基于MRSDAE-SOM结合HGRU的滚动轴承RUL预测方法。首先,使用无监督式网络流形正则化堆栈去噪自编码器(Manifold Regularization Stack Denoising Auto Encoder,MRSDAE)结合自组织映射(Self-Or-ganizing Mapping,SOM)构建轴承健康因子(Health Indicator,HI)。然后,通过分层门控循环单元(Hierarchical Gated Re-current Unit,HGRU)网络建立预测模型,HGRU网络通过加入多尺度层和密集层,使其具有捕获时序特征且集成不同时间尺度注意力信息的能力。最后,通过实验验证表明,相比于其他基于数据驱动的方法,所提方法构建健康因子使用无监督方式,高效快捷且便于应用;预测模型泛化能力好,并有效防止了过拟合现象,实现了更高的预测精度。 展开更多
关键词 深度学习 剩余使用寿命 流形正则化堆栈去噪自编码器 分层门控循环单元
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ARM+FPGA双核计算的配电自动化终端设计
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作者 郑军生 杨俊哲 +1 位作者 许文秀 吴宏伟 《自动化仪表》 CAS 2024年第1期59-63,共5页
为了提高配电自动化终端数据信息自动化分析能力,设计了基于ARM+现场可编程门阵列(FPGA)双核计算的配电自动化终端。为了提高模块计算能力,在模块中构建了堆叠式自动编码器-神经网络(SAE-NN)深度学习算法模型。在常规堆叠式自动编码器(S... 为了提高配电自动化终端数据信息自动化分析能力,设计了基于ARM+现场可编程门阵列(FPGA)双核计算的配电自动化终端。为了提高模块计算能力,在模块中构建了堆叠式自动编码器-神经网络(SAE-NN)深度学习算法模型。在常规堆叠式自动编码器(SAE)深度学习模型基础上融合神经网络(NN)模型,应用过程中改善传统NN对分层节点数目的限制。试验结果表明,所设计终端随着系统运行能达到95%以上的精度,而现有SAE模型仅达到85%左右的精度。通过与文献[1]和文献[2]方法的对比可知,所设计终端有较高的调度能力。该设计显著提高了配电网数据信息的分析精度,大幅提升了电网应用对数据信息处理的准确度和效率。 展开更多
关键词 配电自动化终端 现场可编程门阵列 堆叠式自动编码器 神经网络 数据调试 分析精度 调度能力
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High-k gate dielectric GaAs MOS device with LaON as interlayer and NH_3-plasma surface pretreatment 被引量:1
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作者 刘超文 徐静平 +1 位作者 刘璐 卢汉汉 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第12期494-498,共5页
High-k gate dielectric Hf Ti ON Ga As metal-oxide–semiconductor(MOS) capacitors with La ON as interfacial passivation layer(IPL) and NH3- or N2-plasma surface pretreatment are fabricated, and their interfacial an... High-k gate dielectric Hf Ti ON Ga As metal-oxide–semiconductor(MOS) capacitors with La ON as interfacial passivation layer(IPL) and NH3- or N2-plasma surface pretreatment are fabricated, and their interfacial and electrical properties are investigated and compared with their counterparts that have neither La ON IPL nor surface treatment. It is found that good interface quality and excellent electrical properties can be achieved for a NH3-plasma pretreated Ga As MOS device with a stacked gate dielectric of Hf Ti ON/La ON. These improvements should be ascribed to the fact that the NH3-plasma can provide H atoms and NH radicals that can effectively remove defective Ga/As oxides. In addition, La ON IPL can further block oxygen atoms from being in-diffused, and Ga and As atoms from being out-diffused from the substrate to the high-k dielectric. This greatly suppresses the formation of Ga/As native oxides and gives rise to an excellent high-k/Ga As interface. 展开更多
关键词 Ga As MOS La ON interlayer NH3-plasma treatment stacked gate dielectric
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超薄Si_3N_4/SiO_2(N/O)stack栅介质及器件
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作者 林钢 徐秋霞 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2005年第1期115-119,共5页
成功制备了EOT(equivalentoxidethickness)为 2 1nm的Si3 N4/SiO2 (N/O)stack栅介质 ,并对其性质进行了研究 .结果表明 ,同样EOT的Si3 N4/SiO2 stack栅介质和纯SiO2 栅介质比较 ,前者在栅隧穿漏电流、抗SILC性能、栅介质寿命等方面都... 成功制备了EOT(equivalentoxidethickness)为 2 1nm的Si3 N4/SiO2 (N/O)stack栅介质 ,并对其性质进行了研究 .结果表明 ,同样EOT的Si3 N4/SiO2 stack栅介质和纯SiO2 栅介质比较 ,前者在栅隧穿漏电流、抗SILC性能、栅介质寿命等方面都远优于后者 .在此基础上 ,采用Si3 N4/SiO2 stack栅介质制备出性能优良的栅长为 0 12 μm的CMOS器件 ,器件很好地抑制了短沟道效应 .在Vds=Vgs=± 1 5V下 ,nMOSFET和pMOSFET对应的饱和电流Ion分别为5 84 3μA/ μm和 - 2 81 3μA/ μm ,对应Ioff分别是 8 3nA/ μm和 - 1 3nA/ μm . 展开更多
关键词 超薄Si3N4/SiO2(N/O)stack栅介质 栅隧穿漏电流 SILC特性 栅介质寿命 CMOS器件
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The influence and explanation of fringing-induced barrier lowering on sub-100 nm MOSFETs with high-k gate dielectrics
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作者 马飞 刘红侠 +1 位作者 匡潜玮 樊继斌 《Chinese Physics B》 SCIE EI CAS CSCD 2012年第5期602-606,共5页
The fringing-induced barrier lowering(FIBL) effect of sub-100 nm MOSFETs with high-k gate dielectrics is investigated using a two-dimensional device simulator.An equivalent capacitance theory is proposed to explain ... The fringing-induced barrier lowering(FIBL) effect of sub-100 nm MOSFETs with high-k gate dielectrics is investigated using a two-dimensional device simulator.An equivalent capacitance theory is proposed to explain the physics mechanism of the FIBL effect.The FIBL effect is enhanced and the short channel performance is degraded with increasing capacitance.Based on equivalent capacitance theory,the influences of channel length,junction depth,gate/lightly doped drain(LDD) overlap length,spacer material and spacer width on FIBL is thoroughly investigated.A stack gate dielectric is presented to suppress the FIBL effect. 展开更多
关键词 high-k gate dielectric fringing-induced barrier lowering stack gate dielectric MOSFET
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Key technologies for dual high-k and dual metal gate integration
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作者 Yong-Liang Li Qiu-Xia Xu@ and Wen-Wu Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第9期529-534,共6页
The key technologies for the dual high-k and dual metal gate, such as the electrical optimization of metal insert poly-Si stack structure, the separating of high-k and metal gate of n/pMOS in different regions of the ... The key technologies for the dual high-k and dual metal gate, such as the electrical optimization of metal insert poly-Si stack structure, the separating of high-k and metal gate of n/pMOS in different regions of the wafer, and the synchronous etching of n/pMOS gate stack, are successfully developed. First, reasonable flat-band voltage and equivalent oxide thickness of pMOS MIPS structure are obtained by further optimizing the HfSiAlON dielectric through incorporating more Al-O dipole at interface between HfSiAlON and bottom SiOx. Then, the separating of high-k and metal gate for n/pMOS is achieved by SC1(NH4OH:H2O2:H2O = 1 : 1 : 5) and DHF-based solution for the selective removing of n MOS TaN and Hf Si ON and by BCl3-based plasma and DHF-based solution for the selective removing of pMOS TaN/Mo and HfSiAlON.After that, the synchronous etching of n/pMOS gate stack is developed by utilizing optimized BCl3/SF6/O2/Ar plasma to obtain a vertical profile for TaN and TaN/Mo and by utilizing BCl3/Ar plasma combined with DHF-based solution to achieve high selectivity to Si substrate. Finally, good electrical characteristics of CMOS devices, obtained by utilizing these new developed technologies, further confirm that they are practicable technologies for DHDMG integration. 展开更多
关键词 high-k metal gate metal insert poly-Si stack(MIPS) dual high-k and dual metal gate(DHDMG)
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基于SAE-SA-1D-CNN-BGRU的涡扇发动机剩余寿命预测
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作者 聂磊 蔡文涛 +3 位作者 张吕凡 徐诗奕 吴柔慧 任一竹 《航空发动机》 北大核心 2023年第4期134-139,共6页
为解决涡扇发动机监测数据维度高和寿命预测准确度低的问题,提出一种基于深度学习的寿命预测方法,开展了利用神经网络获取涡扇发动机剩余寿命的研究。利用堆叠自编码(SAE)网络从高维传感器数据中提取健康因子(HI),采用1维卷积神经网络-... 为解决涡扇发动机监测数据维度高和寿命预测准确度低的问题,提出一种基于深度学习的寿命预测方法,开展了利用神经网络获取涡扇发动机剩余寿命的研究。利用堆叠自编码(SAE)网络从高维传感器数据中提取健康因子(HI),采用1维卷积神经网络-双向门控循环单元(1D-CNN-BGRU)方法捕捉HI序列中的空间和时间特征,并引入自注意(SA)机制对捕捉的特征分配权重,使用全连接层输出涡扇发动机剩余使用寿命(RUL),以此构建复合神经网络进行面向涡扇发动机高维数据的寿命预测。结果表明:利用NASA官方网站提供的涡扇发动机寿命试验公开数据集C-MAPSS对该方法进行验证,取得了均方根误差16.22和评分函数225的结果。证明了基于SAE-SA-1D-CNN-BGRU的寿命预测方法可实现涡扇发动机寿命的有效预测,能为涡扇发动机维修保障及健康管理提供有效决策支撑。 展开更多
关键词 剩余使用寿命 堆叠自编码网络 1维卷积神经网络 双向门控循环单元 涡扇发动机 智能运维 深度学习
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基于Al_(2)O_(3)/Chitosan叠层栅介质的双栅IGZO神经形态晶体管
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作者 王靖瑜 万昌锦 万青 《无机材料学报》 SCIE EI CAS CSCD 北大核心 2023年第4期445-451,共7页
基于铟镓锌氧(IGZO)的双电层(EDL)晶体管以低加工温度、良好的一致性以及丰富的离子动力学等优势,在神经形态感知和计算系统中具有极大的潜在应用前景。然而,双电层IGZO晶体管的高漏电(>10 nA)导致的高能耗以及异常电流尖峰/毛刺一... 基于铟镓锌氧(IGZO)的双电层(EDL)晶体管以低加工温度、良好的一致性以及丰富的离子动力学等优势,在神经形态感知和计算系统中具有极大的潜在应用前景。然而,双电层IGZO晶体管的高漏电(>10 nA)导致的高能耗以及异常电流尖峰/毛刺一直是相关神经形态计算发展的主要障碍之一。本研究提出了一种具有Al_(2)O_(3)/壳聚糖(Chitosan)叠层栅介质的新型IGZO神经形态晶体管。与单层壳聚糖栅介质晶体管相比,引入Al_(2)O_(3)叠层的器件具有78.3 mV/decade的低亚阈值摆幅,在1.8 V电压下1.3 nA的低漏电流(降低约98%),3.73 V的大滞回窗口(提升3.4倍)以及0.86 nA的低兴奋性突触后电流(降低约97%),单脉冲(0.5 V,20 ms)功耗仅为1.7 pJ(降低约96%)。此外,研究还基于双栅EDL协同调控实现了尖峰突触功能的模拟和沟道电流的有效调制,并有效规避突触塑性模拟中高漏电导致的非正常电流尖峰/毛刺。上述结果表明,堆叠高k栅介质可以有效改善神经形态器件的漏电、功耗和性能,为进一步开发超低功耗神经形态感知和计算系统提供了新的思路。 展开更多
关键词 神经形态器件 IGZO晶体管 人造突触 叠层栅介质 高K栅介质 突触可塑性
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