一种应用于纳米尺度器件陷阱电荷表征的新型改进电荷泵方法

随着器件特征尺寸的缩小,热载流子带来的器件蜕化效应越来越严重。电荷泵方法可用于表征陷阱电荷的分布。但由于局部阈值电压窄峰的影响,传统电荷泵法在测试陷阱电荷分布时存在误差。本文提出了一种改进型电荷泵测试方法,可用于精确提取纳米尺度器件中陷阱电荷的横向分布。 本文采用0.12微米的SONOS器件来验证这一方法的有效性。通过编程控制,使SONOS器件形成大约50纳米的阈值电压窄峰。采用新方法测试得到的陷阱电荷分布与测试得到的阈值电压有较好的一致性。     

Overlay mark optimization for thick-film resist overlay metrology

For thick resist implant layers, such as a high voltage P well and a deep N well, systematic and uncorrectable overlay residues brought about by the tapered resist profiles were found. It was found that the tapered profile is closely related to the pattern density. Potential solutions of the manufacturing problem include hardening the film solidness or balancing the exposure density. In this paper, instead of focusing on the process change methodology,we intend to solve the issue of the overlay metrology error from the perspective of the overlay mark design. Based on the comparison of the overlay performances between the proposed overlay mark and the original design, it is shown that the optimized overlay mark target achieves better performance in terms of profiles, dynamic precision,tool induced shift (TIS), and residues. Furthermore, five types of overlay marks with dummy bars are studied, and a recommendation for the overlay marks is given.     

A Scalable Framework For Segmenting Magnetic Resonance Images

A fast, accurate and fully automatic method of segmenting magnetic resonance images of the human brain is introduced. The approach scales well allowing fast segmentations of fine resolution images. The approach is based on modifications of the soft clustering algorithm, fuzzy c-means, that enable it to scale to large data sets. Two types of modifications to create incremental versions of fuzzy c-means are discussed. They are much faster when compared to fuzzy c-means for medium to extremely large data sets because they work on successive subsets of the data. They are comparable in quality to application of fuzzy c-means to all of the data. The clustering algorithms coupled with inhomogeneity correction and smoothing are used to create a framework for automatically segmenting magnetic resonance images of the human brain. The framework is applied to a set of normal human brain volumes acquired from different magnetic resonance scanners using different head coils, acquisition parameters and field strengths. Results are compared to those from two widely used magnetic resonance image segmentation programs, Statistical Parametric Mapping and the FMRIB Software Library (FSL). The results are comparable to FSL while providing significant speed-up and better scalability to larger volumes of data.     

复合材料在热真空下的尺寸稳定性测试方法

航天光学遥感器在轨运行时的环境与地面装调时有很大差异,对于采用复合材料的遥感器而言,在轨运行时由于材料受湿气解析的影响其几何尺寸将发生变化,进而影响遥感器的成像质量.因此,模拟在轨环境下复合材料几何尺寸稳定性测试,分析其在轨条件下的几何尺寸变形是十分必要的.提出了一种在热真空环境下,采用激光双频干涉原理对复合材料几何尺寸变形量的高精度测试方法,对该方法进行了方案验证与精度分析.针对采用碳纤维蒙皮/铝蜂窝夹层结构复合材料的某相机前镜筒进行了实际的热真空环境下几何尺寸变形量测试.结果表明,试验数据与理论数值在数量级上相同,提出的测试方案可行,为复合材料模拟在轨环境下几何尺寸变形量提供了一种测试手段.     

电子倍增CCD噪声参数的估计方法

为定量评价电子倍增CCD(EMCCD)图像噪声的大小,实现对EMCCD 图像噪声参数的准确估计,研究了EMCCD 的噪声分布模型及其参数估计方法。首先,讨论了EMCCD 图像的噪声来源及其统计特性,由此建立了适于EMCCD 的噪声分布模型。然后,提出了两种EMCCD 噪声参数估计方法矩估计法和高斯-牛顿法,采用Monte Carlo 仿真验证其性能。仿真结果表明,矩估计法和高斯-牛顿法的平均相对误差和相对标准偏差均为10-2 量级,估计精度较高,且高斯-牛顿法的估计精度要高于矩估计法。采集一系列无增益时积分时间为50 s的暗场图片和增益为50 的本底图片,利用矩估计法和高斯-牛顿法分别估计出EMCCD 的暗电流噪声、时钟感生电荷噪声和读出噪声,实验结果表明,估计值与EMCCD 指标值一致,证明矩估计法和高斯-牛顿法能有效估计噪声参数且具有较高的精度。     

Nanoporous Surface High-Entropy Alloys as Highly Efficient Multisite Electrocatalysts for Nonacidic Hydrogen Evolution Reaction

Electrocatalytic hydrogen evolution in alkaline and neutral media offers the possibility of adopting platinum-free electrocatalysts for large-scale electrochemical production of pure hydrogen fuel, but most state-of-the-art electrocatalytic materials based on nonprecious transition metals operate at high overpotentials. Here, a monolithic nanoporous multielemental CuAlNiMoFe electrode with electroactive high-entropy CuNiMoFe surface is reported to hold great promise as cost-effective electrocatalyst for hydrogen evolution reaction (HER) in alkaline and neutral media. By virtue of a surface high-entropy alloy composed of dissimilar Cu, Ni, Mo, and Fe metals offering bifunctional electrocatalytic sites with enhanced kinetics for water dissociation and adsorption/desorption of reactive hydrogen intermediates, and hierarchical nanoporous Cu scaffold facilitating electron transfer/mass transport, the nanoporous CuAlNiMoFe electrode exhibits superior nonacidic HER electrocatalysis. It only takes overpotentials as low as ≈240 and ≈183 mV to reach current densities of ≈1840 and ≈100 mA cm⁻² in 1 m  KOH and pH 7 buffer electrolytes, respectively; ≈46- and ≈14-fold higher than those of ternary CuAlNi electrode with bimetallic Cu–Ni surface alloy. The outstanding electrocatalytic properties make nonprecious multielemental alloys attractive candidates as high-performance nonacidic HER electrocatalytic electrodes in water electrolysis.     

Statistical Piezotronic Effect in Nanocrystal Bulk by Anisotropic Geometry Control

Utilizing inner-crystal piezoelectric polarization charges to control carrier transport across a metal-semiconductor or semiconductor–semiconductor interface, piezotronic effect has great potential applications in smart micro/nano-electromechanical system (MEMS/NEMS), human-machine interfacing, and nanorobotics. However, current research on piezotronics has mainly focused on systems with only one or rather limited interfaces. Here, the statistical piezotronic effect is reported in ZnO bulk composited of nanoplatelets, of which the strain/stress-induced piezo-potential at the crystals’ interfaces can effectively gate the electrical transport of ZnO bulk. It is a statistical phenomenon of piezotronic modification of large numbers of interfaces, and the crystal orientation of inner ZnO nanoplatelets strongly influence the transport property of ZnO bulk. With optimum preferred orientation of ZnO nanoplatelets, the bulk exhibits an increased conductivity with decreasing stress at a high pressure range of 200–400 MPa, which has not been observed previously in bulk. A maximum sensitivity of 1.149 µS m⁻¹ MPa⁻¹ and a corresponding gauge factor of 467–589 have been achieved. As a statistical phenomenon of many piezotronic interfaces modulation, the proposed statistical piezotronic effect extends the connotation of piezotronics and promotes its practical applications in intelligent sensing.     

Wood-Inspired Binder Enabled Vertical 3D Printing of g-C3N4/CNT Arrays for Highly Efficient Photoelectrochemical Hydrogen Evolution

2D nanomaterials are very attractive for photoelectrochemical applications due to their ultra-thin structure, excellent physicochemical properties of large surface-area-to-volume ratios, and the resulting abundant active sites and high charge transport capacity. However, the application of commonly used 2D nanomaterials with disordered-stacking is always limited by high photoelectrode tortuosity, few surface-active sites, and low mass transfer efficiency. Herein, inspired by wood structures, a vertical 3D printing strategy is developed to rapidly build vertically aligned and hierarchically porous graphitic carbon nitride/carbon nanotube (g-C₃N₄/CNT) arrays by using lignin as a binder for efficient photoelectrochemical hydrogen evolution. Arising from the directional electron transport and multiple light scattering in the out-of-plane aligned and porous architecture, the resulting g-C₃N₄/CNT arrays display an outstanding hydrogen evolution performance, with the hydrogen yield up to 4.36 µmol (cm⁻² h⁻¹) at a bias of −0.5 V versus RHE, 12.7 and 41.6 times higher than traditional thick g-C₃N₄/CNT and g-C₃N₄ films, respectively. Moreover, this 3D printed structure can overcome the agglomeration problem of the commonly used g-C₃N₄ with powder configuration and shows desirable recyclability and stability. This facile and scalable vertical 3D printing strategy will open a new avenue to highly enhance the photoelectrochemical performance of 2D nanomaterials for sustainably production of clean energy.     

基于OSPF的ASON路由的一种加密方案

自动交换光网络(ASON)控制协议采用通用多协议标签交换(GMPLS)控制协议族,其路由部分主要为开放式最短路径优先(OSPF)协议.文章分析了OSPF协议加密措施存在的安全隐患,并对现有的加密方案进行了改进.针对OSPF协议的安全模式,提出了一种可以应用于ASON中路由技术的新的安全性方案.基于数论算法,实现S盒动态调整,通过动态产生的子密钥,在迭代过程中对分组进行加密.