Open critical area model and extraction algorithm based on the net flow-axis

In the integrated circuit manufacturing process, the critical area extraction is a bottleneck to the layout optimization and the integrated circuit yield estimation. In this paper, we study the problem that the missing material defects may result in the open circuit fault. Combining the mathematical morphology theory, we present a new computation model and a novel extraction algorithm for the open critical area based on the net flow-axis. Firstly, we find the net flow-axis for different nets. Then, the net flow-edges based on the net flow-axis are obtained. Finally, we can extract the open critical area by the mathematical morphology. Compared with the existing methods, the nets need not to divide into the horizontal nets and the vertical nets, and the experimental results show that our model and algorithm can accurately extract the size of the open critical area and obtain the location information of the open circuit critical area.     

Critical area computation for real defects and arbitrary conductor shapes

In current critical area models, it is generally assumed the defect outlines are circular and the conductors to be rectangle or the merger of rectangles. However, real defects and conductors associated with optimal layout design exhibit a great variety of shapes. Based on mathematical morphology, a new critical area model is presented, which can be used to estimate the critical area of short circuit, open circuit and pinhole. Based on the new model, the efficient validity check algorithms are explored to extract critical areas of short circuit, open circuit and pinhole from layouts. The results of experiment on an approximate layout of 4 × 4 shifts register show that the new model predicts the critical areas accurately. These results suggest that the proposed model and algorithm could provide new approaches for yield prediction.     

Yield estimation of metallic layers in integrated circuits

In the existing models of estimating the yield and critical area, the defect outline is usually assumed to be circular, but the observed real defect outlines are irregular in shape. In this paper, estimation of the yield and critical area is made using the Monte Carlo technique and the relationship between the errors of yield estimated by circular defect and the rectangle degree of the defect is analysed. The rectangular model of a real defect is presented, and the yield model is provided correspondingly. The models take into account an outline similar to that of an original defect, the characteristics of two-dimensional distribution of defects, the feature of a layout routing, and the character of yield estimation. In order to make the models practicable, the critical area computations related to rectangular defect and regular （vertical or horizontal） routing are discussed. The critical areas associated with rectangular defect and non- regular routing are developed also, based on the mathematical morphology. The experimental results show that the new yield model may predict the yield caused by real defects more accurately than the circular model. It is significant that the yield is accurately estimated using the proposed model for IC metals.     

A single diffractive optical element implementing spectrum-splitting and beam-concentration functions simultaneously with high diffraction efficiency

In this paper,a novel method is proposed and employed to design a single diffractive optical element(DOE) for implementing spectrum-splitting and beam-concentration(SSBC) functions simultaneously.We develop an optimization algorithm,through which the SSBC DOE can be optimized within an arbitrary thickness range according to the limitations of modern photolithography technology.Theoretical simulation results reveal that the designed SSBC DOE has a high optical focusing efficiency.It is expected that the designed SSBC DOE should have practical applications in high-efficiency solar cell systems.     

A novel low-swing interconnect optimization model with delay and bandwidth constraints

Interconnect power and repeater area are important in the interconnect optimization of nanometer scale integrated circuits.Based on the RLC interconnect delay model,by wire sizing,wire spacing and adopting low-swing interconnect technology,this paper proposed a power-area optimization model considering delay and bandwidth constraints simultaneously.The optimized model is verified based on 65-nm and 90-nm complementary metal-oxide semiconductor(CMOS) interconnect parameters.The verified results show that averages of 36% of interconnect power and 26% of repeater area can be saved under 65-nm CMOS process.The proposed model is especially suitable for the computer-aided design of nanometer scale systems-on-chip.     

Robust fault-sensitive synchronization of a class of nonlinear systems

Aiming at enhancing the quality as well as the reliability of synchronization,this paper is concerned with the fault detection issue within the synchronization process for a class of nonlinear systems in the existence of external disturbances.To handle such problems,the concept of robust fault-sensitive (RFS) synchronization is proposed,and a method of determining such a kind of synchronization is developed.Under the framework of RFS synchronization,the master and the slave systems are robustly synchronized,and at the same time,sensitive to possible faults based on a mixed H /H ∞ performance.The design of desired output feedback controller is realized by solving a linear matrix inequality,and the fault sensitivity H index can be optimized via a convex optimization algorithm.A master-slave configuration composed of identical Chua’s circuits is adopted as a numerical example to demonstrate the effectiveness and applicability of the analytical results.     

Monte Carlo simulation of the property of a scintillation bar in the multi-neutron correlation spectrometer

To perform a kinematically complete measurement of the dissociation reaction for neutron-rich nuclei, a multi-neutron correlation spectrometer is proposed at Peking University. A Monte Carlo simulation code based on GEANT4 is developed for a single scintillation bar which processes not only the energy deposition but also the light propagation in the scintillator and the light collection and conversion to signal at the end of the bar in a realistic way. The simulating method is described in detail in this paper, and the timing and position resolutions and detector efficiency are studied based on the simulation and compared with the experimental results. A new method of crosstalk rejection has been demonstrated to be important for the design of the whole spectrometer.     

Efficient fifth harmonic generation of Nd:glass laser in ADP crystals

Fifth harmonic generation(5th HG) of a Nd:glass laser is an effective way to acquire high-energy coherent deepultraviolet radiation near 200 nm. In this work, cascade generation of the fifth harmonic of a Nd:glass laser in a 5 mm ammonium dihydrogen phosphate(ADP) crystal was investigated, and maximum conversion efficiency of 14% and large angular acceptance of 45 mrad were demonstrated at a noncritical phase-matching temperature of-75.1°C. However, as the results reveal, the temperature sensitivity and nonlinear absorption would hinder its high-energy application. As for that, based on the complementary relationship of the angle and temperature in the phase-matching condition, an upgraded focusing 5th HG design coupled with the cylindrical temperature distribution scheme was proposed. By this upgraded focusing design, more than the improvement of the conversion efficiency, the output 5ω near-field intensity distribution turns out to be insensitive to the temperature gradient. Potentially, this idea can be applied for many other frequency conversion schemes such as high-repetition frequency lasers, which have similar temperature gradient problems.     

Optimal Acoustic Attenuation of Weakly Compressible Media Permeated with Air Bubbles

Based on fuzzy logic （FL） and genetic algorithm （GA）, we present an optimization method to obtain the optimal acoustic attenuation of a longitudinal acoustic wave propagating in a weakly compressible medium permeated with air bubbles. In the optimization, the parameters of the size distribution of bubbles in the medium are optimized for providing uniformly high acoustic attenuation in the frequency band of interest. Compared with other traditional optimization methods, the unique advantage of the present method is that it can locate the global optimum quickly and effectively in need of knowing the mathematical model precisely. As illustrated by a numerical simulation, the method is effective and essential in enhancing the acoustic attenuation of such a medium in an optimal manner. The bubbly medium with optimized structural parameters can effectively attenuate longitudinal waves at intermediate frequencies with an acoustic attenuation approximating a constant value of lO（dB/cm）. Such bubbly media with optimal acoustic attenuations may be applied to design acoustic absorbent by controlling broader attenuation band and higher efficiency.     

A novel interconnect-optimal repeater insertion model with target delay constraint in 65nm CMOS

Repeater optimization is the key for SOC(System on Chip) interconnect delay design.This paper proposes a novel optimal model for minimizing power and area overhead of repeaters while meeting the target performance of on-chip interconnect lines.It also presents Lagrangian function to find the number of repeaters and their sizes required for minimizing area and power overhead with target delay constraint.Based on the 65 nanometre CMOS technology,the computed results of the intermediate and global lines show that the proposed model can significantly reduce area and power of interconnected lines,and the better performance will be achieved with the longer line.The results compared with the reference paper demonstrate the validity of this model.It can be integrated into repeater design methodology and CAD(computer aided design) tool for interconnect planning in nanometre SOC.     

65—90 nm技术节点的WCA模型和提取算法

在90 nm和65 nm技术节点,集成电路制造业的投资剧增而随机成品率却在下降低.为了提升随机成品率,带权关键面积的（WCA）计算和排序是关键.文中基于数学形态学提出了一种随机缺陷轮廓的WCA新模型,该模型不仅考虑了90 nm和65 nm工艺中缺陷在布线区域和空白区域的不同密度,而且也考虑了缺陷在粒径上的分布特性;同时还设计并实现了与新模型对应的WCA提取与排序算法,部分版图上的实验结果表明新WCA可以作为版图优化的代价函数,从而为随机缺陷的版图优化提供了精确依据. 关键词： 缺陷空间分布 缺陷粒径分布 关键面积 版图优化     

激光二极管端面抽运的棒状Yb：YAG激光器

分析了影响激光二极管抽运Yb：YAG激光器调Q效率的参量，推导了激光二极管端面脉冲抽运Yb：YAG晶体的速率方程，解出了双程抽运情况下的净抽运量子产率。利用数值计算方法，模拟了净抽运量子产率与晶体长度，抽运光脉冲宽度等关系，得出晶体长度的优化可以提高Yb：YAG激光器输出效率。计算了词Q Yb：YAG激光器的最大增益、最大储能，分析了放大自发辐射对于Yb：YAG能量存储的影响。同时给出了激光二极管端面抽运调Q Yb：YAG优化设计方法。这些分析和计算为实际器件的研制提供参考。     

一种高性能硅片曝光场分布优化算法

以提高光刻机应用性能为目的,提出了一种高性能硅片曝光场分布优化算法。由芯片尺寸计算得到最佳曝光场尺寸,使其最接近于光刻机提供的曝光场最大尺寸,提高了曝光系统的利用率;引入曝光场交错分布,减少了硅片边缘曝光场的交叠,提高了光刻产率;建立产率优先和良率优先两种优化方案,实现了产率和良率的共优。以实际芯片产品的参量为例,将本算法用于曝光过程,采用产率优先标准,曝光场数量减少了10%,而内场数量基本不变,提高了光刻的产率也确保了良率;采用良率优先标准,内场数量增长了10%,总的场数也有所减少,提高了光刻良率的可靠性也确保了产率。     

基于优化面积光谱指数的玉米叶片叶绿素值估测

综合使用光谱技术对作物养分进行实时、有效诊断,有助于作物的精准管理、保障产量和减少环境污染,提高肥料利用率,并且为定量估测作物生化组分状况提供了一种新的途径。光谱指数是进行作物叶片叶绿素实时估测的重要指标,然而由于受到环境条件及内在生化成分的影响,估测结果不尽满意。为了进一步提高光谱指数在估测作物叶片叶绿素含量时的抗干扰能力和敏感性,于2020年在内蒙古玉米种植典型区域进行不同氮梯度的田间试验,在玉米的四个关键生育时期获取叶片的光谱反射率和叶绿素值,通过建立基于面积的光谱指数和叶片叶绿素值的关系模型并进行光谱指数的优化及评价。结果表明,生育时期对面积光谱指数与叶片叶绿素值的关系有显著影响。前人研究的基于面积的光谱指数在玉米苗期时对于叶片叶绿素含量的估测效果较差,而对抽雄期叶片叶绿素含量的估测效果最佳。基于优化算法构建的面积光谱指数显著提高了光谱指数对叶片叶绿素含量估测的准确度和稳定性,基于优化算法的优化三角形植被指数(OTVI)、优化叶绿素吸收积分指数(OCAI)和优化双峰面积归一化差值指数(ONDDA)在不同生育时期上比前人研究的面积光谱指数具有更强的叶绿素含量估测能力,估测模型的决定系数R2在0.94～0.99之间。与优化三角形植被指数(OTVI)和优化叶绿素吸收积分指数(OCAI)相比优化双峰面积归一化差值指数(ONDDA)在估测春玉米不同生育时期叶片叶绿素含量方面更为稳定,预测模型验证结果的决定系数R2为0.94,并且验证误差最小,RMSE和NRMSE%分别为2.29%,3.94%,模型估测值与实测值的验证斜率为0.996,接近1。综上所述,ONDDA是一个实用且适合于估测不同生育时期叶片叶绿素含量的面积光谱指数。     

集中供热系统“管-站”布局及管网优化设计方法研究

对大型集中供热系统而言,设计过程包括"管-站"布局设计和管网系统设计。根据最优化理论,提出了集中供热系统的两级优化设计模型,即第一级的"管站"布局优化和第二级的管网系统多目标优化设计模型。由于"管-站"布局优化模型属NP-hard问题(不确定问题),为寻求有效解法,对"管站"布局优化模型提出两步分级法求解,即优化过程分两步进行,第一步为分区优化,第二步为选址优化。运用本文所述方法对辽河油田振兴区集中供热改造工程,进行了优化设计,取得了较好效果。     

Particle‐in‐cell simulation of an optimized high‐efficiency multistage plasma thruster

Electric propulsion attracts increasing attention in contemporary space missions as an interesting alternative to chemical propulsion because of the high efficiency it offers. The High‐Efficiency Multistage Plasma thruster, a class of cusped field thruster, is able to operate at different anode voltages and operation points and thereby generate different levels of thrust in a stable and efficient way. Since experiments of such thrusters are inherently expensive, multi‐objective design optimization (MDO) is of great interest. Several optimized thruster designs have resulted from a MDO model based on a zero‐dimensional (0D) power balance model. However, the MDO solutions do not warrant self‐consistency due to their dependency on estimation from empirical modelling based on former experimental studies. In this study, one of the optimized thruster designs is investigated by means of particle‐in‐cell (PIC) analysis to examine the predicted performance characteristics with self‐consistent simulations. The 0D power balance model is used to develop additional diagnostics for the PIC simulations to improve the physics analysis. Using input parameters for the 0D power balance model from the PIC simulations allows further improvement for the design optimization.     

Hybrid neural nets with poisson and gaussian connectivities

The dynamic behavior of neural nets with different patterns of interneuronal synaptic connectivity is investigated. Our method is based on probabilistic neural nets for the net structure and dynamics. Each net is divided into several different subsystems, which are characterized by different distribution laws for the number of connections that the neurons make. We start from the binomial distribution, which, under appropriate conditions, reduces to the Poisson and Gaussian distributions. The overall net now acquires a hybrid character. The expression for the neural activity is generalized to include this effect, and new expressions are derived, based on the isolated single-net equations. The dynamics of nets with sustained external inputs is also studied. The results obtained by this approach also show multiple stability and multiple hysteresis effects, as in the case of single nets. The differences between pure Poisson, Gaussian, and hybrid nets are explained in terms of the structural properties of the model. As expected, the hybrid case falls in between the two other distributions. Finally, we performed Monte Carlo computer calculations for the hybrid nets. For the range of parameters examined we find very good agreement with the developed formalism