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Dual-Functional Electrode Promoting Dendrite-Free and CO2 Utilization Enabled High-Reversible Symmetric Na-CO2 Batteries

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Energy & Environmental Materials 2024年第3期7卷 127-136页

作者： changfan xu Jiajia Qiu Yulian Dong Yueliang Li Yonglong Shen Huaping Zhao Ute Kaiser Guosheng Shao Yong Lei Fachgebiet Angewandte Nanophysik Institut für Physik & IMN MacroNano Central Facility for Electron Microscopy Electron Microscopy Group of Materials ScienceUlm University School of Materials Science and Engineering Zhengzhou University

Sodium-carbon dioxide （Na-CO2） batteries are regarded as promising energy storage technologies because of their impressive theoretical energy density and CO2reutilization,but their practical applications are restricted by uncontrollable sodium dendrite growth and poor electrochemical kinetics of *** suitable multifunctional electrodes for dendritefree anodes and kinetics-enhanced CO2cathodes is considered one of the most important ways to advance the practical application of ***,RuO2nanoparticles encapsulated in carbon paper （RuCP）are rationally designed and employed as both Na anode host and CO2cathode in *** outstanding sodiophilicity and high catalytic activity of RuCP electrodes can simultaneously contribute to homogenous Na+distribution and dendrite-free sodium structure at the anode,as well as strengthen discharge and charge kinetics at the *** morphological evolution confirmed the uniform deposition of Na on RuCP anode with dense and flat interfaces,delivering enhanced Coulombic efficiency of 99.5%and cycling stability near 1500 ***,Na-CO2batteries with RuCP cathode demonstrated excellent cycling stability（>350 cycles）.Significantly,implementation of a dendrite-free RuCP@Na anode and catalytic-site-rich RuCP cathode allowed for the construction of a symmetric Na-CO2battery with long-duration cyclability,offering inspiration for extensive practical uses of Na-CO2batteries.

关键词： CO2 cathode dendrite free electrocatalysis Na metal anode symmetric CO2 batteries

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Research progress of transition metal compounds as bifunctional catalysts for zinc-air batteries

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Nano Research Energy 2024年第1期3卷 78-100页

作者： Yan Ran changfan xu Deyang Ji Huaping Zhao Liqiang Li Yong Lei Fachgebiet Angewandte Nanophysik Institut für Physik&IMN MacroNanoTechnische Universität IlmenauIlmenau 98693Germany Tianjin Key Laboratory of Molecular Optoelectronic Sciences Department of ChemistryInstitute of Molecular Aggregation ScienceTianjin UniversityTianjin 300072China

Zinc-air batteries(ZABs)are widely studied because of their high theoretical energy density,high battery voltage,environmental protection,and low ***,the slow kinetics of oxygen reduction reaction(ORR)and oxygen evolution reaction(OER)on the air electrode limits the further application of ZABs,so that how to develop a cheap,efficient,and stable catalyst with bifunctional catalytic activity is the key to solving the development of *** metal compounds are widely used as cathode materials for ZABs due to their low cost,high electrocatalytic activity,and stable *** review summarizes the research progress of transition metal compounds as bifunctional catalysts for *** development history,operation principle,and mechanism of ORR and OER reactions are introduced *** application and development of transition metal compounds as bifunctional catalysts for ZABs in recent years are systematically introduced,including transition metal oxides(TMOs),transition metal nitrides(TMNs),transition metal sulfides(TMSs),transition metal carbides(TMCs),transition metal phosphates(TMPs),and *** addition,the shortcomings of transition metal compounds as bifunctional catalysts for ZABs were summarized and reasonable design strategies and improvement measures were put forward,aiming at providing a reference for the design and construction of high-performance ZABs cathode ***,the challenges and future in this field are discussed and prospected.

关键词： transition metal compounds zinc-air batteries bifunctional catalysts electrochemical air electrode

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Train wheel-rail force collaborative calibration based on GNN-LSTM

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High-Speed Railway 2024年第2期2卷 85-91页

作者： changfan Zhang Zihao Yu Lin Jia College of Railway Transportation Hunan University of TechnologyZhuzhou 412007China College of Electrical and Information Engineering Hunan University of TechnologyZhuzhou 412007China

Accurate wheel-rail force data serves as the cornerstone for analyzing the wheel-rail ***,achieving continuous and precise measurement of this force remains a significant challenge in the *** article introduces a calibration algorithm for the wheel-rail force that leverages graph neural networks and long short-term memory ***,a comprehensive wheel-rail force detection system for trains was constructed,encompassing two key components:an instrumented wheelset and a ground wheel-rail force measuring ***,utilizing this system,two distinct datasets were acquired from the track inspection vehicle:instrumented wheelset data and ground wheel-rail force data,a feedforward neural network was employed to calibrate the instrumented wheelset data,referencing the ground wheel-rail force ***,ground wheel-rail force data for the locomotive was obtained for the corresponding road *** data was then integrated with the calibrated instrumented wheelset data from the track inspection *** the GNN-LSTM network,the article establishes a mapping relationship model between the wheel-rail force of the track inspection vehicle and the locomotive wheel-rail *** model facilitates continuous measurement of locomotive wheel-rail forces across three typical scenarios:straight sections,long and steep downhill sections,and small curve radius sections.

关键词： Railway Wheel-rail force Deep learning Instrumented wheelset Ground wheel-rail force measuring system

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聚丙烯酰胺凝胶法制备Bi2Mn4O10及其电化学性能

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无机材料学报 2020年第7期35卷 827-833页

作者：湛菁徐昌藩龙怡宇李启厚中南大学冶金与环境学院长沙410083 难冶有色金属资源高效利用国家工程实验室长沙410083

Bi2Mn4O10具有高的理论比容量,被认为是一种理想的锂离子电池负极材料。本研究以硝酸铋和乙酸锰为原料,采用聚丙烯酰胺凝胶法制备Bi2Mn4O10负极材料,考察了制备条件对Bi2Mn4O10负极材料的物相、形貌及电化学性能的影响。结果表明:在丙... 详细信息

Bi2Mn4O10具有高的理论比容量,被认为是一种理想的锂离子电池负极材料。本研究以硝酸铋和乙酸锰为原料,采用聚丙烯酰胺凝胶法制备Bi2Mn4O10负极材料,考察了制备条件对Bi2Mn4O10负极材料的物相、形貌及电化学性能的影响。结果表明:在丙烯酰胺含量与总金属离子摩尔比为8:1,葡萄糖浓度为1.11mol/L,热处理温度为873 K的条件下,可得类球型、分散性良好的纯相Bi2Mn4O10粉末。作为负极材料, Bi2Mn4O10粉末在0.2C (1C=800 mA/g)倍率下循环50圈后可保持496.8 mAh/g的比容量,容量保持率为76.9%;3C倍率下放电容量为232 mAh/g。

关键词：锂离子电池负极材料 Bi2Mn4O10 电化学性能

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金属-二氧化碳电池的发展:机理及关键材料

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化学进展 2020年第6期32卷 836-850页

作者：徐昌藩房鑫湛菁陈佳希梁风中南大学冶金与环境学院难冶有色金属资源高效利用国家工程实验室长沙410083 昆明理工大学冶金与能源工程学院昆明650093

金属-二氧化碳(Me-CO2)电池结合了先进储能和有效固定CO2的双重特性,被视为下一代能源转换和储存以及CO2捕获和利用器件的潜在候选者。然而,目前Me-CO2电池面临如倍率性能差、高极化率、CO2转换效率低、循环寿命短等一系列的挑战。为了... 详细信息

金属-二氧化碳(Me-CO2)电池结合了先进储能和有效固定CO2的双重特性,被视为下一代能源转换和储存以及CO2捕获和利用器件的潜在候选者。然而,目前Me-CO2电池面临如倍率性能差、高极化率、CO2转换效率低、循环寿命短等一系列的挑战。为了便于了解Me-CO2电池的最新研究并促进其发展,本文系统地总结、比较和讨论了基于金属(锂、钠、铝、锌、钾)阳极的Me-CO2电池的发展,包括电池放电/充电机制、阴极材料/电催化剂、电解质、金属电极等,着重阐明了电极和电解质等功能材料对电极反应稳定性和速率的影响,展望了合理构建电池材料的前景和方向,为Me-CO2电池的发展提供指导。

关键词：金属-二氧化碳电池反应机理电催化电解液反应动力学

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知识产权保护能否改善地区创新资本错配

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中国科技论坛 2024年第1期 82-92页

作者：薛虎谢昌凡耿献辉南京农业大学经济管理学院江苏南京210018

本文从创新技术研发系统和创新技术转化系统双重视角探讨知识产权保护对地区创新资本错配的影响及其作用机制,并基于2004—2021年30个省级面板数据进行实证检验。研究发现:(1)知识产权保护存在地区创新资本错配的改善效应,随着时间的推... 详细信息

本文从创新技术研发系统和创新技术转化系统双重视角探讨知识产权保护对地区创新资本错配的影响及其作用机制,并基于2004—2021年30个省级面板数据进行实证检验。研究发现:(1)知识产权保护存在地区创新资本错配的改善效应,随着时间的推移这种改善效应逐渐增强;(2)地区创新资本错配方向的不同会对研究结果产生影响,在创新资本配置过度地区中知识产权保护会加剧地区创新资本错配;(3)随着技术位置的前移,知识产权保护的地区创新资本错配改善效应更大;(4)机制检验表明,知识产权保护通过技术市场治理效应、技术市场扩张效应、创新能力提升效应来改善地区创新资本错配。本文的研究结论可为健全知识产权制度和优化创新资源配置提供经验证据和决策参考。

关键词：知识产权保护创新资本错配市场扭曲

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主视眼屈光参数及视网膜血流特征的初步研究

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中华眼科杂志 2024年第7期60卷 592-600页

作者：赵海峰李珊珊吴昌凡孙功勋皖南医学院第一附属医院(弋矶山医院)眼科芜湖241000 芜湖市眼科医院芜湖241000

目的探讨主视眼与非主视眼在屈光参数、视网膜和脉络膜各层血流方面的特征。方法横断面研究。于2019年4月至2023年8月招募安徽省芜湖市地区高校18~32岁正视眼或近视眼、无全身疾病在校学生,按照双眼等效球镜度数差值<0.50、0.50~1.74、1... 详细信息

目的探讨主视眼与非主视眼在屈光参数、视网膜和脉络膜各层血流方面的特征。方法横断面研究。于2019年4月至2023年8月招募安徽省芜湖市地区高校18~32岁正视眼或近视眼、无全身疾病在校学生,按照双眼等效球镜度数差值<0.50、0.50~1.74、1.75~2.49、≥2.50 D分为A、B、C、D共4个组;采用卡洞法确定主视眼。分别记录双眼的屈光参数,包括等效球镜度数、近视球镜度数、散光度数、眼轴长度和角膜曲率差值(K2-K1),使用相干光层析血管成像术(OCTA)检测双眼黄斑区视网膜浅层毛细血管(SVC)、深层毛细血管(DVC)、无血管复合体(AC)、视网膜总体、脉络膜毛细血管(CC)、脉络膜中血管及视网膜脉络膜总体的血流密度。采用配对样本t检验、方差分析和卡方检验进行统计学分析。结果共纳入符合标准受试者78人,年龄为(24.50±2.36)岁,男性28人,女性50人。右眼为主视眼共50人,左眼为主视眼共28人。在所有受试者中,主视眼近视度数高者42人,非主视眼近视度数高者30人;主视眼等效球镜度数[(-4.588±2.534)D]和近视球镜度数[(-4.253±2.504)D]、眼轴长度[(25.531±1.212)mm]与非主视眼[(-4.058±2.453)和(-3.779±2.425)D、(25.256±1.238)mm]的差异有统计学意义(P<0.05)。其中,A和C组主视眼的散光度数,B、C和D组主视眼的等效球镜度数,C和D组主视眼的近视球镜度数和眼轴长度与非主视眼的差异有统计学意义(P<0.05)。在所有受试者中,主视眼DVC(0.291±0.130)、AC(0.347±0.118)、视网膜脉络膜总体(0.385±0.102)的血流密度与非主视眼(0.257±0.148、0.326±0.126、0.349±0.084)的差异有统计学意义(P<0.05)。其中,C和D组主视眼SVC、DVC、AC、脉络膜毛细血管、视网膜脉络膜总体,C组主视眼脉络膜中血管以及D组主视眼视网膜总体的血流密度与非主视眼的差异有统计学意义(P<0.05)。结论在正视眼或近视眼年轻人群中,主视眼的近视程度高于非主视眼。当双眼等效球镜度数差值≥1.75 D时,主视眼视网膜和脉络膜的血流密度大于非主视眼。

关键词：正视眼近视优势,眼屈光参差视网膜血管微血管密度体层摄影术,光学相干血管造影术

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Defects Recognition of Train Wheelset Tread Based on Improved Spiking Neural Network

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Chinese Journal of Electronics 2023年第5期32卷 941-954页

作者： ZHANG changfan HUANG Congcong HE Jing College of Railway Transportation Hunan University of Technology

Surface defect recognition of train wheel-set is crucial for the safe operation of the train wheel system. However, due to the diversity and complexity of such defects, it is difficult for existing algorithms to make rapid and accurate recognitions. To solve this problem, an improved spiking neural network(SNN) based defect recognition method for train wheelset tread is ***, a hybrid convolutional encoding module is first designed to conduct image-to-spike conversion and to create multi-scale sparse representations of the ***, a residual spiking convolutional neural network is implemented to extract spiking features optimally, and a multi-scale structure is adopted to enhance the SNN’s ability to handle details. A channel attention module is then incorporated to re-calibrate the weights of four-dimensional spiking feature maps. Finally, effective spiking features are obtained according to the recognition decisions which are made. The experimental results showed that the proposed method improved the accuracy of defect recognition. The recognition time of a single image is only 0.0195 s on average. The overall performance of the proposed method is noticeably superior to current mainstream algorithms.

关键词： Convolution Target recognition Neural networks Noise reduction Wheels Network architecture Feature extraction

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Stabilization of Discrete-Time Dynamical Systems Under Event-Triggered Impulsive Control with and Without Time-Delays

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Journal of Systems Science & Complexity 2018年第1期31卷 130-146页

作者： LIU Bin HILL David John ZHANG changfan SUN Zhijie Department of Information and Computing Science Hunan University of Technology Zhuzhou 412008 China Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong China School of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412008 China Mork Family Department of Chemical Engineering and Materials Science Viterbi School of Engineering University of Southern California Los Angeles CA 90089 USA

This paper investigates the issue of stabilization for discrete-time dynamical systems（DDS）by event-triggered impulsive control（ETIC）. Based on some relatively simple threshold constants, three levels of event conditions are set and thus the ETIC scheme is designed. Three cases for ETIC with and without time-delays and data dropouts are studied respectively, and the criteria on exponential stability are derived for the controlled DDS. The stabilization in the form of exponential stability is achieved for DDS under the designed ETIC with or without time-delays. And in the case of the ETIC data dropouts, the conditions of exponential stabilization are derived for DDS and the maximal allowable dropout rates for ETIC are estimated. Finally, one example with numerical simulations is worked out for illustration.

关键词： Data dropout discrete-time dynamical systems event-triggered control exponential stability impulsive control stabilization time-delay

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A bearing fault diagnosis method based on a convolutional spiking neural network with spa tial-tempor al fea ture-extr action capability

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Transportation Safety and Environment 2023年第2期5卷 59-70页

作者： changfan Zhang Zunguang Xiao Zhenwen Sheng College of Railway Transportation Hunan University of TechnologyZhuzhou 412007HunanChina Shandong Xiehe University Jinan 250109ShandongChina

Convolutional neur al netw orks(CNNs)ar e widel y used in the field of fault diagnosis due to their strong feature-extraction *** ever,in eac h timeste p,CNNs onl y consider the curr ent input and ignor e any cyclicity in time,ther efor e pr oducing difficulties in mining temporal features from the *** this w ork,the third-gener ation neur al netw ork-the spiking neur al netw ork(SNN)-is utilized in bearing fault *** incorpor ate tempor al concepts and utilize discrete spike sequences in communication,making them more biolo gically e *** by the classic CNN LeNet-5 fr amew ork,a bearing fault diagnosis method based on a convolutional SNN is *** this method,the spiking convolutional network and the spiking classifier network are constructed by using the inte gr ate-and-fire(IF)and leaky-inte gr ate-and-fire(LIF)model,respectively,and end-to-end training is conducted on the overall model using a surrogate gradient *** signals are adaptively encoded into spikes in the spiking neuron *** addition,the network utilizes max-pooling,which is consistent with the spatial-temporal characteristics of *** with the spiking con volutional la y ers,the netw ork fully extracts the spatial-temporal featur es fr om the bearing vibration *** validations and comparisons are conducted on *** results show that the proposed method achieves high accuracy and takes fewer time steps.

关键词： fault diagnosis spiking neural network(SNN) convolutional neural network(CNN) surrogate gradient method

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