压电螺位错与椭圆夹杂的电弹相互作用

研究了压电材料中压电螺位错与椭圆夹杂的电弹相互作用.基于扰动概念和级数展开方法,推导了基体和夹杂的弹性场和电场,在此基础上给出了作用于位错上像力的表达式.通过分析基体与夹杂的相对刚度和机电耦合强弱对像力的影响,得到了新的相互作用机理.     

基于智能化信息处理的建筑工程造价短期预测

提出了一种新的基于智能化信息处理的建筑工程造价短期预测模型.该模型首次利用数据的高阶统计信息,提出了改进独立分量分析技术.通过构建适用于建筑工程造价的属性重构空间,挖掘出表征能力更强的造价独立属性,用于神经网络的学习和训练,从而建立了全新的建筑工程造价短期预测智能模型.该模型通过发挥独立分量分析强大的信号分离能力,增强了神经网络的学习效率,提高了预测精度.实例数据验证了文中所建模型的有效性.     

钙钛矿相界面插层对SrFeOx基忆阻器的性能提升

SrFeO_x(SFO)是一种能在SrFeO_2.5钙铁石(BM)相和SrFeO₃钙钛矿(PV)相之间发生可逆拓扑相变的材料.这种相变能显著改变电导却维持晶格框架不变,使SFO成为一种可靠的阻变材料.目前大部分SFO基忆阻器使用单层BM-SFO作为阻变功能层,这种器件一般表现出突变型阻变行为,因而其应用被局限于两态存储.对于神经形态计算等应用,单层BM-SFO忆阻器存在阻态数少、阻值波动大等问题.为解决这些问题,本研究设计出BM-SFO/PV-SFO双层忆阻器,其中PV-SFO层为富氧界面插层,可在导电细丝形成过程中提供大量氧离子并在断裂过程中回收氧离子,使导电细丝的几何尺寸(如直径)在更大范围内可调,从而获得更多、更连续且稳定的阻态,可用于模拟长时程增强和抑制等突触行为.基于该器件仿真构建了全连接神经网络(ANN),在手写体数字光学识别(ORHD)数据集进行在线训练后获得了86.3%的识别准确率,相比于单层忆阻器基ANN的准确率提升69.3%.本研究为SFO基忆阻器性能调控提供了一种新方法,并展示了它们作为人工突触器件在神...     

Engineering Double-Walled Carbon Nanotubes by Ar Plasma

Double-walled carbon nanotubes （DWCNTs） have been found to be promising nano-materials for nano-mechanical and nano-electrical devices due to their double-walled structures. Modifying DWCNTs would be one of the key technologies for device construction. We demonstrate engineering the geometry of DWCNTs by etching with Ar plasma. The characterization by atomic force rnicroscopy indicates that single atomic carbon layers could be removed from DWCNTs by Ar plasma. The etching effect is further investigated by electrical measurements on DWCNT field-effect transistors, which allow us to study the interwall screen effect as well.     

Eu3+摩尔浓度对Y2O2S:Eu3+,Mg2+,Ti4+红色长余辉材料光谱的影响

用高温固相法制备了Y2O2S：Eu^3 ,Mg^2 ,Ti^4 红色长余辉材料。测量了该材料的余辉曲线,余辉时间为1h以上;由X射线衍射得到晶体结构为Y2O2S.测量了不同Eu^3 摩尔浓度下的激发光谱和发射光谱,得到从^5DJ(J=0,1,2,3)^-7FJ(J=0,1,2,3,4,5)的发射谱线,并得到位于260,345,468和540nm激发峰。由于激活剂饱和效应,Y2O2S：Eu^3 ,Mg^2 ,Ti^4 发射光谱中513．6,540．1,556．4,587．3和589．3nm属于从^5D2,^5D1到^7FJ(J=0,1,2,3,4)跃迁的发射峰随Eu^3 摩尔浓度的增加相对削弱;激发谱包括位于350nm左右属于电荷转移态吸收(Eu^3 -O^2-,Eu^3 -S^2 )的激发主峰和在可见光区位于468,520和540nm属于Eu^3 离子4f-4厂吸收的激发峰。随着Eu^3 摩尔浓度的增加,位于468,520和540nm的激发峰相对增强。     

Elastic stability and electronic structure of low energy tetragonal and monoclinic PdN2 and PtN2

This paper studies the elastic and electronic structure properties of two new low-energy structures of PdN2 and PtN2 by first-principles calculations.It finds that tetragonal and monoclinic structures are more stable than a pyrite one.The always positive eigenvalues of the elastic constant matrix confirm that both the tetragonal and monoclinic structures are elastically stable.The origin of the low bulk modulus of the two structures is discussed.The results of the calculated density of states show that both of the two low-energy structures are metallic.     

~(236)U Multi-modal Fission Paths on a Five-dimensional Deformation Surface

In this paper, we develop a new path search algorithm which considers all the degrees of freedom and apply it on our calculated five-dimensional potential energy surface(PES) of~(236) U. Asymmetric and symmetric fission paths and barriers are obtained.     

Advanced high-pressure plasma diagnostics with hairpin resonator probe surrounded by film and sheath

The hairpin probe using microwave resonance in plasma is applicable to high pressure 1.33×10 3-1.01×10 5 Pa)) as developed recently.In this work,an analytic model of the hairpin resonator probe surrounded by a thin dielectric layer and a sheath layer is proposed.The correction factor due to these surroundings is analytically found and confirmed by electromagnetic field finite difference time domain simulation,thus enabling the accurate measurement of electron density in a high-pressure non-equilibrium uniform discharge.     

铷-氙气室原子磁力仪系统磁场测量能力的标定

本文针对微弱磁场精密测量问题,在自主研制的铷-氙气室原子磁力仪系统上,探讨了两种磁场测量的方式,分别实现了对交流磁场与静磁场的测量,并对它们的磁场测量能力进行了实验标定.交流磁场测量原理是基于测量外磁场对~(87)Rb原子极化的影响,实验标定结果为在2100 Hz频率范围内磁场测量的灵敏度约为1.5 pT/Hz~(1/2),带宽约为2.8 kHz;静磁场测量原理是基于测量铷-氙气室内超极化~(129)Xe的拉莫进动频率,实验上首先测得超极化~(129)Xe的横向、纵向弛豫时间分别约为20.6和21.5 s,然后通过标定给出静磁场测量精度约为9.4 pT,测量范围超过50μT.相比无自旋交换弛豫原子磁力仪,该磁力仪在同一体系内实现了交流磁场与静磁场的测量,且交流磁场测量具有更大的带宽,静磁场测量可在地磁场下正常工作,将有望应用于地磁测量、基础物理等方面的研究.     

曲波域统计量自适应阈值探地雷达数据去噪技术

非线性、非平稳探地雷达数据常掺杂各种复杂噪声源,其对精确提取弱反射波信号、识别绕射波双曲线同相轴特征具有严重影响,忽略噪声影响给探地雷达探测数据全波形偏移成像及后续解译造成较大误差.采用传统阈值函数的曲波变换去噪需要根据数据噪声水平人为确定合理阈值控制系数.对此,本文开展自适应阈值函数的曲波变换去噪算法研究.引入块状复数域阈值函数算法,分析传统阈值函数曲波变换去噪的效果随阈值控制系数变化的规律;利用高阶统计量理论,对曲波变换系数在尺度、方向上进行相关性叠加,通过相关性统计量自适应确定有效信号在曲波变换系数分布尺度、旋转方向,由此确定清除噪声成分阈值范围,构建统计量自适应阈值函数曲波变换去噪算法.针对包含随机噪声、相关噪声合成探地雷达数据及实测探地雷达数据,采用传统阈值函数曲波变换去噪与本文提出去噪算法处理结果对比分析,检验了本文算法的有效性及可行性.研究成果对复杂探地雷达数据精确推断解译具有指导意义.