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Li-rich channels as the material gene for facile lithium diffusion in halide solid electrolytes

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eScience 2022年第1期2卷 79-86页

作者： Guohao Yang Xianhui Liang Shisheng Zheng Haibiao Chen Wentao Zhang Shunning Li feng pan School of Advanced Materials Peking UniversityShenzhen Graduate SchoolShenzhen518055People's Republic of China Institute of Marine Biomedicine Shenzhen PolytechnicShenzhen518055People's Republic of China

Halide solid electrolytes have attracted intense research interest recently for application in all-solid-state lithiumion batteries. Herein, we present a systematic first-principles study of the Li3MX6 (M: multivalent cation;X:halogen anion) halide family that unveils the link between Li-rich channels and ionic conductivity, highlightingthe former as a material gene in these compounds. By screening a total of 180 halides for those with highthermodynamic stability, wide electrochemical window, low chemical reactivity, and decent Li-ion conductivity,we identify seven unexplored candidates for solid electrolytes. From these halides and another four prototypecompounds, we discover that the facile Li diffusion is rooted in the availability of diffusion pathways which canavoid direct connection with M cations-that is, where the local environment is Li-rich. These findings shed lighton strategies for regulating cation and anion frameworks to establish Li-rich channels in the design of high-performance inorganic solid electrolytes.

关键词： Li-ion batteries Inorganic solid electrolytes Halides Material gene Density functional theory

Event-triggered robust control for networked control systems with actuator failures and time-varying transmission delays

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International Journal of Intelligent Computing and Cybernetics 2015年第2期8卷 172-186页

作者： Peng pan Shun Jiang feng pan Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxiChina

Purpose–The purpose of this paper is with robust control problem for event-triggered networked control systems(NCSs)with actuator failures and time-varying transmission delays.Design/methodology/approach–A random sequence is introduced to describe the actuator faults,and a novel event-triggering communication scheme is adopted in the sensor-to-controller channel.By taking the event-triggered mechanism and network transmission delay into consideration,a delay system model is constructed.Findings–Based on Lyapunov stability theory and free weighting matrix method,the feasibility criteria for co-designing both the controller gain and the trigger parameters are derived.Finally,a simulation example is exploited to demonstrate the effectiveness of the proposed linear matrix inequalities(LMIs)approach.Originality/value–The introduced approach is interesting for NCSs with actuator failures and timevarying transmission delays.

关键词： Robust control Networked control Actuator failure Event-triggering scheme

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再生水消毒副产物的检测、生成与控制

环境科学 2024年第3期45卷 1561-1576页

作者：廖雨枫王正潘旸李爱民南京大学环境学院污染控制与资源化研究国家重点实验室南京210023

在水资源紧缺的当下,污水再生利用是一项重要的环保战略更是资源战略.消毒能有效杀灭病菌和阻断介水疾病的传播,是保障再生水用水安全的重要手段.然而,消毒剂会不可避免地与水中有机物发生反应形成具有毒害效应的消毒副产物.围绕污水在... 详细信息

在水资源紧缺的当下,污水再生利用是一项重要的环保战略更是资源战略.消毒能有效杀灭病菌和阻断介水疾病的传播,是保障再生水用水安全的重要手段.然而,消毒剂会不可避免地与水中有机物发生反应形成具有毒害效应的消毒副产物.围绕污水在再生消毒过程中所产生的消毒副产物,针对其检测识别方法、生成条件(前体物、消毒工艺及水质条件对消毒副产物生成的影响)以及控制方法(源头控制、过程控制及末端控制)进行综述.在此基础上,对再生水消毒副产物的未来研究动态进行了探讨,可为保障再生水的安全利用提供依据.

关键词：消毒副产物再生水检测识别生成机制控制方法

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基于布谷鸟算法的数控系统加减速参数规划

组合机床与自动化加工技术 2024年第5期 26-32页

作者：张鑫潘丰江南大学轻工过程先进控制教育部重点实验室无锡214122

针对传统加减速参数规划算法只适用于其对应加减速模型,移植性差以及求解动力学参数效率低的问题,提出一种适用于加减速段加加速度曲线中心对称模型的加减速参数规划算法。首先,构建加减速段加加速度曲线中心对称的模型,同时基于时间最... 详细信息

针对传统加减速参数规划算法只适用于其对应加减速模型,移植性差以及求解动力学参数效率低的问题,提出一种适用于加减速段加加速度曲线中心对称模型的加减速参数规划算法。首先,构建加减速段加加速度曲线中心对称的模型,同时基于时间最优的原则,将模型内动力学参数规划问题转变为求解最优化问题;其次,具体化加减速段内加加速度首段曲线,构建最大速度与最短运动时间之间的映射关系;最后,设计布谷鸟算法内适应度函数,迭代寻找最优解。仿真实验证明,所提出算法能够适用于三阶、四阶S形以及正弦模型等复杂模型,求解效率较传统二分算法以及牛顿迭代法分别有65.8%、36.5%的提升,同时证明算法有效性、可靠性。

关键词：加减速算法最优化问题布谷鸟算法中心对称曲线

预应力混凝土梁-型钢混凝土柱新型框架节点受剪承载力计算方法

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工程力学 2024年第4期41卷 29-38页

作者：潘钻峰葛雄曾滨许庆同济大学土木工程防灾国家重点实验室上海200092 云南省设计院集团有限公司昆明530100 中冶建筑研究总院有限公司北京100088

梁柱节点受剪承载力计算是混凝土框架结构节点抗震设计的关键点之一,由于节点剪力传递机理与构造的复杂性,目前尚未形成完善的节点受剪承载力计算理论。该文阐述了预应力混凝土梁-型钢混凝土柱新型框架节点的受力机理,并基于桁架模型和... 详细信息

梁柱节点受剪承载力计算是混凝土框架结构节点抗震设计的关键点之一,由于节点剪力传递机理与构造的复杂性,目前尚未形成完善的节点受剪承载力计算理论。该文阐述了预应力混凝土梁-型钢混凝土柱新型框架节点的受力机理,并基于桁架模型和斜压杆模型,提出了一种同时考虑预应力筋与型钢贡献的节点受剪承载力计算方法。开展了新型节点受力性能拟静力试验,分别选取了梁端破坏与节点剪切破坏两种破坏形式的节点试验数据,对所建立的新型节点受剪承载力计算方法进行了验证评估,结果表明,该文提出的预应力混凝土梁-型钢混凝土柱框架节点承载力计算方法具有较好的精度。

关键词：预应力混凝土梁型钢混凝土柱节点受剪机理受剪承载力

基于印象管理遵义城市Logo变与不变的均衡策略研究

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包装工程 2024年第10期45卷 247-252,280页

作者：刘璐潘峰茅台学院贵州遵义564507 浙江水利水电学院杭州310000

目的新时代激发了遵义日新月异的发展,随之而来人们对遵义城市Logo的变与不变陷入困惑与争议,研究试图为循规蹈矩的学院派和灵活的实践派提供一种化解争议、消除不和、达成一致的处变方略。方法研究以受众的获得性印象管理为抓手,以城... 详细信息

目的新时代激发了遵义日新月异的发展,随之而来人们对遵义城市Logo的变与不变陷入困惑与争议,研究试图为循规蹈矩的学院派和灵活的实践派提供一种化解争议、消除不和、达成一致的处变方略。方法研究以受众的获得性印象管理为抓手,以城市发展溯源法、比较研究等为手段,以时代发展的城市形象升级为风口,对遵义城市Logo的变与不变展开分析,进而提出相应的均衡策略。结果学术争鸣固然可以使学术问题越辩越明,也可能因此造成社会实践的困顿,而学术守正和实践创新的和而不同,可能会促进城市社会的发展和形象的提升。结论城市Logo作为表意的具象化符号,创意设计与制作要严肃、认真、创新,并且坚持核心符号轻易不变的学理信念,而飞速发展的时代却要求与时俱进,在变与不变的困惑与纠结中需要运用均衡策略,从而强化人们的积极城市印象,规避或弱化消极的城市印象。

关键词：印象管理城市Logo 守正创新均衡策略

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Research on variance of subnets in network sampling

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1098-1106页

作者： Qi Gao Xiaoting Li feng pan School of Automation Beijing Institute of Technology

In the recent research of network sampling, some sampling concepts are misunderstood, and the variance of subnets is not taken into account. We propose the correct definition of the sample and sampling rate in network sampling, as well as the formula for calculating the variance of subnets. Then, three commonly used sampling strategies are applied to databases of the connecting nearest-neighbor（CNN） model, random network and small-world network to explore the variance in network sampling. As proved by the results, snowball sampling obtains the most variance of subnets, but does well in capturing the network structure. The variance of networks sampled by the hub and random strategy are much smaller. The hub strategy performs well in reflecting the property of the whole network, while random sampling obtains more accurate results in evaluating clustering coefficient.

关键词： complex network,sampling,sample,variance of sub-nets

Magnetoresistive sensors with hybrid Co/insulator/ZnO:Co junctions

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International Journal of Minerals,Metallurgy and Materials 2013年第2期20卷 160-165页

作者： Guang Chen Cheng Song feng pan Laboratory of Advanced Materials Department of Materials Science and EngineeringTsinghua University

Magnetic tunnel junctions （MTJs）, as the seminal spintronic devices, are expected for applications in magne- toresistive sensors due to their large magnetoresistance （MR） and high field sensitivity. Two hybrid Co/insulator/ZnO：Co junctions were fabricated with two different barriers to investigate the magneto-transport properties. Experimental results indicate that, both Co/MgO/ZnO：Co and Co/ZnO/ZnO：Co junctions show the positive and nearly linear MR, and their tunnel magnetoresistances （TMR） are 21.8% and 13.6%, respectively, when the current is applied perpendicular to the film plane under the magnetic field of 2 T at 4 K. The nonlinearity of MR is less than 1% within the magnetic field （H） of 1 kOe 〈 H 〈 12 kOe at low temperature, making them attractive as magnetoresistive sensors. The higher MR of Co/MgO/ZnO：Co junctions is due to the superior spin filtering effect and larger effective barrier height of the MgO barrier. This linear MR characteristic of Co/insulator/ZnO：Co structures shows a promising future on the applications of diluted magnetic semiconductors in magnetoresistive sensors.

关键词： magnetoresistance sensors zinc oxide magnesia cobalt doping magnetic semiconductors

Fault detection and diagnosis for data incomplete industrial systems with new Bayesian network approach

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Journal of Systems Engineering and Electronics 2013年第3期24卷 500-511页

作者： Zhengdao Zhang Jinlin Zhu feng pan Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University

For the fault detection and diagnosis problem in largescale industrial systems, there are two important issues： the missing data samples and the non-Gaussian property of the data. However, most of the existing data-driven methods cannot be able to handle both of them. Thus, a new Bayesian network classifier based fault detection and diagnosis method is proposed. At first, a non-imputation method is presented to handle the data incomplete samples, with the property of the proposed Bayesian network classifier, and the missing values can be marginalized in an elegant manner. Furthermore, the Gaussian mixture model is used to approximate the non-Gaussian data with a linear combination of finite Gaussian mixtures, so that the Bayesian network can process the non-Gaussian data in an effective way. Therefore, the entire fault detection and diagnosis method can deal with the high-dimensional incomplete process samples in an efficient and robust way. The diagnosis results are expressed in the manner of probability with the reliability scores. The proposed approach is evaluated with a benchmark problem called the Tennessee Eastman process. The simulation results show the effectiveness and robustness of the proposed method in fault detection and diagnosis for large-scale systems with missing measurements.

关键词： fault detection and diagnosis Bayesian network Gaussian mixture model data incomplete non-imputation.