影响异戊二烯大气光解形成二次有机气溶胶的环境因素研究

通过自制的烟雾腔系统研究羟基启动的异戊二烯光解形成二次有机气溶胶(SOA)过程中环境因素的影响.使用气溶胶粒径光谱仪测量了SOA的粒径分布,通过光解实验研究了光照时间、反应物浓度以及CH3ONO浓度对异戊二烯光解形成SOA的影响.结果表明,异戊二烯光解形成的SOA空气动力学直径在0.4 mm～1.4 mm之间,这些粒子的直径小于2.5μm的微细粒子很容易沉积在人体肺泡内,对人体健康产生很大危害;不管是SOA粒子的粒子数浓度还是质量数浓度都随着反应时间的增长、光照强度的增强和反应物浓度的增加而增加.该研究为大气颗粒物排放源的外场测量提供了非常有用的信息.     

时域多模飞秒压缩光场测量中的本地光脉冲整形研究

基于飞秒脉冲的同步泵浦参量过程产生的多模时域飞秒压缩光场,由于其独特的优势,特别是可以享有单模光纤网络兼容,是实现可扩展量子计算及大容量量子通讯的良好光源。由于无法实现多模时域飞秒压缩光场的空间分离,目前对于多模时域飞秒压缩光场的测量,采用最为有效的平衡零拍探测。因此如何构造与时域飞秒压缩光场时域函数分布相同的本地光,是其中的关键内容,并直接影响测量效果。本文主要理论研究了本地脉冲光的时域整形方案,分析了系统参数对整形后的多模本地光的保真度以及系统调制效率的影响,并结合实验参数提出可能的解决办法。     

高灵敏度区域中子监测仪探测效率曲线模拟

中子监测仪对不同能量中子的探测效率是其重要的性能指标,直接影响其测量值的可信度与使用效果。针对中国科学院高能物理研究所生产的高灵敏度区域中子监测仪（HANM型）,利用蒙特卡罗软件模拟其探测效率曲线,模拟结果表明该仪器探测效率随能量增加,先上升后下降,其探测效率最高值在1 MeV附近。通过改变模拟条件中的射线入射方向,对比探测效率曲线趋势变化,验证该型仪器的探测效率曲线趋势的可靠性。在此基础上,分别利用D-D,D-T加速器产生2.5 MeV和14 MeV单能中子,对探测效率曲线进行校准与验证,最终获得此型仪器的探测效率曲线。     

虫蛀玉米种子的空气耦合超声波检测

提出了一种基于空气耦合超声波技术的玉米种子虫蛀孔洞颗粒和完好颗粒分类识别方法·首先根据玉米颗粒的弹性模量、泊松比和密度等物理量计算出了玉米颗粒的声速,并根据检测精度需求设定了激励信号频率。然后采用MATLAB对采集的两类种子超声波信号数据进行分析处理,并分析了种子厚度和摆放方位对超声波响应特征的影响。最后建立了K近邻(KNN)、簇类独立软模式法(SIMCA)、Fisher线性判别(LDA)和决策树(DT)识别模型,并对模型性能进行了测试.结果表明;种子孔洞深度、胚部厚度和正反面方位不同,即超声波在种子表面的反射程度不同、在种子中传播声程不同,则起声波信号衰减程度不同,导致接收到信号的幅值不同,且样本点在主成分分析(PCA)特征空间的分布也不同。4种识别模型均可以实现对两类玉米的分类识别,其中KNN模型性能最佳,其对虫蛀孔洞颗粒和完好颗粒的正确识别率分别为98%100%,误差带为2%,0。此结果说明采用空气耦合超声波技术可以实现对玉米种子虫蛀孔洞颗粒的检测。     

Ultralow detection limit of giant magnetoresistance biosensor using Fe_3O_4–graphene composite nanoparticle label

A special Fe_3O_4nanoparticles–graphene(Fe_3O_4–GN) composite as a magnetic label was employed for biodetection using giant magnetoresistance(GMR) sensors with a Wheatstone bridge. The Fe_3O_4–GN composite exhibits a strong ferromagnetic behavior with the saturation magnetization M_S of approximately 48 emu/g, coercivity H_C of 200 Oe, and remanence M_r of 8.3 emu/g, leading to a large magnetic fringing field. However, the Fe_3O_4 nanoparticles do not aggregate together, which can be attributed to the pinning and separating effects of graphene sheet to the magnetic particles. The Fe_3O_4–GN composite is especially suitable for biodetection as a promising magnetic label since it combines two advantages of large fringing field and no aggregation. As a result, the concentration x dependence of voltage difference |?V| between detecting and reference sensors undergoes the relationship of |?V| = 240.5 lgx + 515.2 with an ultralow detection limit of 10 ng/mL(very close to the calculated limit of 7 ng/mL) and a wide detection range of 4 orders.     

氮化镓基感光栅极高电子迁移率晶体管器件设计与制备

GaN基高电子迁移率晶体管(HEMT)作为栅控器件,具有AlGaN/GaN异质结处高浓度的二维电子气(2DEG)及对表面态敏感等特性,在栅位置处与感光功能薄膜的结合是光探测器领域重要的研究方向之一.本文首先提出在GaN基HEMT栅电极上引入光敏材料锆钛酸铅(PZT),将具有光伏效应的铁电薄膜PZT与HEMT栅极结合,提出一种新的"金属/铁电薄膜/金属/半导体(M/F/M/S)"结构;然后在以蓝宝石为衬底的AlGaN/GaN外延片上制备感光栅极HEMT器件.最后,通过PZT的光伏效应来调控沟道中的载流子浓度和通过源漏电流的变化来实现对可见光和紫外光的探测.在365 nm紫外光和普通可见光条件下,对比测试有/无感光栅极的HEMT器件,在较小V_(gs)电压时,可见光下测得前者较后者的饱和漏源电流I_(ds)的增幅不下降,紫外光下前者较后者的I_(ds)增幅大5.2 mA,由此可知,感光栅PZT在可见光及紫外光下可作用于栅极GaN基HEMT器件并可调控沟道电流.     

石英增强光声光谱技术研究进展

石英增强光声光谱（QEPAS）技术是一种新颖的气体探测技术,具有体积小、灵敏度高等优点,是痕量气体检测技术的研究热点。本文对QEPAS技术的基本原理、发展历史及发展现状进行了综述,并对多种不同结构的QEPAS系统发展情况进行了介绍,最后对该技术的发展前景进行了展望。     

Community detection in signed networks based on discrete-time model

Community detection in signed networks has been studied widely in recent years. In this paper, a discrete difference equation is proposed to imitate the consistently changing phases of the nodes. During the interaction, each node will update its phase based on the difference equation. Each node has many different nodes connected with it, and these neighbors have different influences on it. The similarity between two nodes is applied to describe the influences between them. Nodes with high positive similarities will get together and nodes with negative similarities will be far away from each other.Communities are detected ultimately when the phases of the nodes are stable. Experiments on real world and synthetic signed networks show the efficiency of detection performance. Moreover, the presented method gains better detection performance than two existing good algorithms.     

Quantum interference between heralded single photon state and coherent state

Balanced homodyne detection has been introduced as a reliable technique of reconstructing the quantum state of a single photon Fock state, which is based on coupling the single photon state and a strong coherent local oscillator in a beam splitter and detecting the field quadrature at the output ports separately. The main challenge associated with a tomographic characterization of the single photon state is mode matching between the single photon state and the local oscillator. Utilizing the heralded single photon generated by the spontaneous parametric process, the multi-mode theoretical model of quantum interference between the single photon state and the coherent state in the fiber beam splitter is established.Moreover, the analytical expressions of the temporal-mode matching coefficient and interference visibility and relationship between the two parameters are shown. In the experimental scheme, the interference visibility under various temporalmode matching coefficients is demonstrated, which is almost accordant with the theoretical value. Our work explores the principle of temporal-mode matching between the single photon state and the coherent photon state, originated from a local oscillator, and could provide guidance for designing the high-performance balanced homodyne detection system.     

A generalized model of TiO_x-based memristive devices and its application for image processing

Memristive technology has been widely explored, due to its distinctive properties, such as nonvolatility, high density,versatility, and CMOS compatibility. For memristive devices, a general compact model is highly favorable for the realization of its circuits and applications. In this paper, we propose a novel memristive model of TiO_x-based devices, which considers the negative differential resistance(NDR) behavior. This model is physics-oriented and passes Linn's criteria. It not only exhibits sufficient accuracy(IV characteristics within 1.5% RMS), lower latency(below half the VTEAM model),and preferable generality compared to previous models, but also yields more precise predictions of long-term potentiation/depression(LTP/LTD). Finally, novel methods based on memristive models are proposed for gray sketching and edge detection applications. These methods avoid complex nonlinear functions required by their original counterparts. When the proposed model is utilized in these methods, they achieve increased contrast ratio and accuracy(for gray sketching and edge detection, respectively) compared to the Simmons model. Our results suggest a memristor-based network is a promising candidate to tackle the existing inefficiencies in traditional image processing methods.