一种沟槽-场限环复合终端结构的设计

为了改善硅功率器件击穿电压性能以及改善IGBT电流的流动方向,提出了一种沟槽-场限环复合终端结构。分别在主结处引入浮空多晶硅沟槽,在场限环的左侧引入带介质的沟槽,沟槽右侧与场限环左侧横向扩展界面刚好交接。结果表明,这一结构改善了IGBT主结电流丝分布,将一部分电流路径改为纵向流动,改变了碰撞电离路径,在提高主结电势的同时也提高器件终端结构的可靠性;带介质槽的场限环结构进一步缩短了终端长度,其横纵耗尽比为3.79,较传统设计的场限环结构横纵耗尽比减少了1.48%,硅片利用率提高,进而减小芯片面积,节约制造成本。此方法在场限环终端设计中非常有效。     

Protein–Protein Interaction Prediction for Targeted Protein Degradation

Protein–protein interactions (PPIs) play a fundamental role in various biological functions; thus, detecting PPI sites is essential for understanding diseases and developing new drugs. PPI prediction is of particular relevance for the development of drugs employing targeted protein degradation, as their efficacy relies on the formation of a stable ternary complex involving two proteins. However, experimental methods to detect PPI sites are both costly and time-intensive. In recent years, machine learning-based methods have been developed as screening tools. While they are computationally more efficient than traditional docking methods and thus allow rapid execution, these tools have so far primarily been based on sequence information, and they are therefore limited in their ability to address spatial requirements. In addition, they have to date not been applied to targeted protein degradation. Here, we present a new deep learning architecture based on the concept of graph representation learning that can predict interaction sites and interactions of proteins based on their surface representations. We demonstrate that our model reaches state-of-the-art performance using AUROC scores on the established MaSIF dataset. We furthermore introduce a new dataset with more diverse protein interactions and show that our model generalizes well to this new data. These generalization capabilities allow our model to predict the PPIs relevant for targeted protein degradation, which we show by demonstrating the high accuracy of our model for PPI prediction on the available ternary complex data. Our results suggest that PPI prediction models can be a valuable tool for screening protein pairs while developing new drugs for targeted protein degradation.     

2%CrMoNiWV高低压复合转子材料的研究

试验研究了2%CrMoNiWV高低压复合转子材料。试验件在950℃奥氏体化,高压区模拟直径1350mm,模拟喷雾冷速为2.5℃/min,回火温度为660～690℃;低压区模拟直径2500mm,模拟喷水冷速为3℃/min,回火温度为630～660℃。结果表明,综合力学性能达到了目标要求。     

Phase equilibria in the Au–In–Sn ternary system

Phase equilibria of the Au–In–Sn system have been investigated by Differential Scanning Calorimetry (DSC), metallographic examination, Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS) measurements. The 130 ^°C isothermal section of the phase diagram was studied. The ternary diagram shows six three-phase fields, and one ternary Au₄In₃Sn₃ phase, which melts incongruently at 382 ^°C and shows a homogeneity range between 21 and about 30 at.% In, at constant Au/Sn ratio.     

基于随机森林回归的清防垢加药量预测方法

复合驱由于强碱化学剂的注入易造成严重的结垢现象,而预测清防垢加药量是制定科学的清防垢方案的关键.为了获得一种具有较强实用价值和较高预测精度的复合驱清防垢加药量的预测方法,该文将随机森林回归算法应用到复合驱清防垢加药量预测.首先,分析并处理影响清防垢加药量的20维特征,利用随机森林回归的特征重要性评估功能对影响加药量的众...     

星环形计算机局域网的性能研究

本文结合星形(Star)和环形(Ring)拓扑结构,提出了一种全新的LAN(Local Area Network)结构——星环形LAN.它以较低廉的代价在网络的几个主要性能指标上获得较大的提高.本文论述了星环形LAN(StarRing LAN)的设计思想和各性能指标的研究结果.     

氨浸工艺从废旧锂电池中选择性回收有价金属

研究了碳酸氢铵-还原剂体系选择性浸出废旧三元锂电池中锂、镍、钴的过程。考察了浸出温度、碳酸氢铵浓度、还原剂的种类和浓度、固液比及浸出时间等对有价金属浸出率的影响,并通过XRD、SEM-EDS和FT-IR等表征方法对选择性浸出机理进行了初步探明。结果表明：在浸出温度80 ℃、浸出时间2.5 h、碳酸氢铵浓度2.5 mol/L、固液比50 g/L、还原剂亚硫酸钠浓度0.6 mol/L的条件下,锂、镍、钴的浸出率分别为96.86%、96.36%、93.43%,而锰几乎不被浸出。碳酸氢铵-亚硫酸钠还原浸出体系可以实现从废旧三元锂电池材料中高效、选择性回收锂、镍和钴。     

蜗壳座环与混凝土基础联合受力应力分析研究

本文根据蜗壳、座环应力计算和实测资料,进行了系统而大量的有限元分析,得出了符合实际情况的力学模型,提高了计算精度,满足了大型机组的设计要求。又在深入研究一些主要因素相互影响的基础上,提出了大型水电机组有关构件联合承载的新建议。     

级联复合腔对光纤激光模式的抑制影响

提出了一种复合腔结构的稳定单纵模(SLM)掺铒光纤激光器,其复合腔结构由主环形有源腔和两个次级无源腔组成。在光纤环形镜中嵌入未抽运的掺铒光纤作为可饱和吸收体以抑制多纵模,用光纤环谐振腔作为滤波器抑制拍频噪声,用光纤光栅作为波长选择器件,最终得到了单纵模输出并消除了拍频噪声。在整个波长调节范围内边模抑制比大于50dB,当泵浦功率为80mW时,掺铒光纤激光器输出功率为20.51mW,激光器的输出很稳定,在25min的观察时间内,输出功率的变化小于0.02%,实现了稳定的激光功率输出。     

Twelve-Nitrogen-Atom Cyclic Structure Stabilized by 3d-Element Atoms: Quantum Chemical Modeling

Using various versions of density functional theory (DFT), DFT M06/TZVP, DFT B3PW91/TZVP, DFT OPBE/TZVP, and, partially, the MP2 method, the possibility of the existence of 3d-element (M) compounds with nitrogen having unusual M: nitrogen ratio 1:12, unknown for these elements at the present, was shown. Structural parameter data were presented. It was shown that all MN4 groupings have tetragonal-pyramidal structure. It was noted that the bond lengths formed by nitrogen atoms and an M atom were equal to each other only in the case of M = Ti, V, Cr and Co, whereas for other Ms, they were slightly different; moreover, the bond angles formed by nitrogen atoms and an M atom were equal to 90.0°, or practically did not differ from this value. Thermodynamic parameters, NBO analysis data and HOMO/LUMO images for this compound were also presented. Good agreement between the calculated data obtained using the above three quantum chemical methods was also noted.