流动注射在线分离富集-火焰原子吸收光谱法测定水中镍(Ⅱ)

应用D412螯合树脂作为富集柱填充物,将在线分离富集装置与火焰原子吸收光谱法联用测定水中镍(Ⅱ)的含量。优化的试验条件如下:1富集柱采用干法填充;2吸附介质的p H为6;3进样速率为5 m L·min-1;4 3 mol·L-1硝酸溶液(洗脱剂)用量为2.5 m L;5洗脱速率为7.5 m L·min-1。镍的质量浓度在50μg·L-1以内与其吸光度呈线性关系,检出限(3s)为0.35μg·L-1。方法用于自来水和河水样品的分析,加标回收率在96.0%~101%之间,测定值的相对标准偏差(n=7)在2.5%~3.1%之间。     

锰氧化物相竞争的理论研究

势函数是在平衡态统计物理中应用得十分成功的理论,将势函数理论推广到非平衡系统是非平衡态统计物理的一项十分重要的任务。本文综述了非平衡态势函数理论的一个重要方面,即利用对随机过程的研究来建立系统的势函数,本文阐述了非平衡系统势函数的定义和概念;论证势函数在系统演化过程中的单调性质;详细介绍了各种计算非平衡势函数的方法;同时介绍了利用势函数解析地研究在噪声作用下的非线性系统的非定态演化行为。整个研究包含了一维和多维系统的广泛系统。     

Network dynamics and its relationships to topology and coupling structure in excitable complex networks

All dynamic complex networks have two important aspects, pattern dynamics and network topology. Discovering different types of pattern dynamics and exploring how these dynamics depend or/network topologies are tasks of both great theoretical importance and broad practical significance. In this paper we study the oscillatory behaviors of excitable complex networks （ECNs） and find some interesting dynamic behaviors of ECNs in oscillatory probability, the multiplicity of oscillatory attractors, period distribution, and different types of oscillatory patterns （e.g., periodic, quasiperiodic, and chaotic）. In these aspects, we further explore strikingly sharp differences among network dynamics induced by different topologies （random or scale-free topologies） and different interaction structures （symmetric or asymmetric couplings）. The mechanisms behind these differences are explained physically.     

Attractive target wave patterns in complex networks consisting of excitable nodes

This review describes the investigations of oscillatory complex networks consisting of excitable nodes,focusing on the target wave patterns or say the target wave attractors.A method of dominant phase advanced driving(DPAD) is introduced to reveal the dynamic structures in the networks supporting oscillations,such as the oscillation sources and the main excitation propagation paths from the sources to the whole networks.The target center nodes and their drivers are regarded as the key nodes which can completely determine the corresponding target wave patterns.Therefore,the center(say node A) and its driver(say node B) of a target wave can be used as a label,(A,B),of the given target pattern.The label can give a clue to conveniently retrieve,suppress,and control the target waves.Statistical investigations,both theoretically from the label analysis and numerically from direct simulations of network dynamics,show that there exist huge numbers of target wave attractors in excitable complex networks if the system size is large,and all these attractors can be labeled and easily controlled based on the information given by the labels.The possible applications of the physical ideas and the mathematical methods about multiplicity and labelability of attractors to memory problems of neural networks are briefly discussed.     

Plasticity-induced characteristic changes of pattern dynamics and the related phase transitions in small-world neuronal networks

Phase transitions widely exist in nature and occur when some control parameters are changed. In neural systems, their macroscopic states are represented by the activity states of neuron populations, and phase transitions between different activity states are closely related to corresponding functions in the brain. In particular, phase transitions to some rhythmic synchronous firing states play significant roles on diverse brain functions and disfunctions, such as encoding rhythmical external stimuli, epileptic seizure, etc. However, in previous studies, phase transitions in neuronal networks are almost driven by network parameters （e.g., external stimuli）, and there has been no investigation about the transitions between typical activity states of neuronal networks in a self-organized way by applying plastic connection weights. In this paper, we discuss phase transitions in electrically coupled and lattice-based small-world neuronal networks （LBSW networks） under spike-timing-dependent plasticity （STDP）. By applying STDP on all electrical synapses, various known and novel phase transitions could emerge in LBSW networks, particularly, the phenomenon of self-organized phase transitions （SOPTs）： repeated transitions between synchronous and asynchronous firing states. We further explore the mechanics generating SOPTs on the basis of synaptic weight dynamics.     

Security analysis of a spatiotemporal-chaos-based cryptosystem

An S-box modified one-way coupled map lattice is applied as a chaotic cryptograph. The security of the system is evaluated from various attacks currently used, including those based on error function analysis, statistical property analysis, and known-plaintext and chosen-ciphertext analytical computations. It is found that none of the above attacks can be better than the brute force attack of which the cost is exhaustively quantitated by the key number in the key space. Also, the system has fairly fast encryption (decryption) speed, and has extremely long period for finite-precision computer realization of chaos. It is thus argued that this chaotic cryptosystem can be a hopeful candidate for realistic service of secure communications.     

碳纳米管的离子束焊接研究

用C+离子束轰击多壁碳纳米管后, 发现了大量的由无定形碳纳米线组成的连接结构. 这种用高分辨透射电子显微镜和电子衍射分析确认的离子束焊接方法, 不但可以作为准备纳米电子（光子）学器件和线路的手段, 结合微操纵技术, 也有可能对其它系统器件排布的制作有所贡献.     

力学系统的混沌

十八、十九世纪,拉格朗日等建立了分析力学体系,理论力学就逐渐成为“完成”了的学科.至此,求解各种力学系统的问题纳入了统一轨道.给定一系统,只要写出它的拉格朗日或哈密顿函数我们设法找到它的一组互相独立的第一积分并确定正则变换哈密顿函数H则可表示为循环坐标形式这力学系统的运动性质立即一目了然理论力学留下的问题仅仅是对各个具体哈密顿系统写出它们各自的运动积分而已. 一百多年来,人们研究各类力学系统,致力于求出对应的运动积分和正则变换.然而这一“具体问题”却实为不易.尤为严重的是,困难不是出现在个别系统中,而带有极大…     

负能模式在驱动漂移波非线性不稳定性中的作用(Ⅱ)——与正能模式交换,“回避交叉”和Hopf分岔

在正弦波驱动的非线性漂移波中,当驱动波频率和强度改变时,一个负能模式与另一个正能模式的复本征值可能出现交叉和“回避交叉”,在出现“回避交叉”的同时,这两个模式的地位发生了某种交换。正负能量两个模式之间的这种非线性共振在弱耗散下可能引起Hopf分岔。     

电子辐照诱发固态相变导致的氮化硼纳米结构生长

报道了N+离子轰击产生的氮化硼(BN)纳米结构,及在电子辐照时结构演化的高分辨透射电子显微镜的原位测定结果.应当强调的是,这种类富勒烯和发夹结构的演化,实际上是电子辐照诱发固态相变的发展,观察中发现的一些BN颗粒、卷曲物,可以被认为是类富勒烯等纳米结构形成的前体或早期阶段.提出了一种类富勒烯等结构的电子辐照动力学模型,并进行了讨论. 关键词： 氮化硼 电子辐照 透射电子显微镜 氮化硼纳米形成物