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Journal of Materials Science & Technology 2023年第33期164卷 198-204页

作者： fujun chen Hao Qian Xiaoyuan Sun Tianyang Zheng Yunfei Liu Jin Luo Yinong Lyu The State Key Laboratory of Materials-Oriented Chemical Engineering College of Materials Science and EngineeringNanjing Tech UniversityNanjing 210009China Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM) Nanjing 210009China Jiangsu Collaborative Innovation Center for Advanced Inorganic Function Composites Nanjing 210009China

Revealing the epitaxial growth mechanism and the interfacial coupling effect between oxide films will help to build a“structure-property”bridge for the design of microelectronic devices.Here,the epitaxial growth mechanism and the interfacial coupling in Bi_(0.5)Na_(0.5)TiO_(3)/SrTiO_(3)(BNT/STO)heterointerfaces are investigated by the aberration-corrected scanning transmission electron microscopy,which is synthesized by a hydrothermal method.The results illustrate that 4 mol/L NaOH leads to not only the epitaxial growth of the BNT film but also the mutual diffusion of elements.The uneven distribution of local elements in BNT films is observed and confirmed to impact the cation displacements of B-site and lattice distortion.However,the overall trend of B-site cation displacement at the BNT/STO heterointerfaces is dominated by the interfacial strain.Additionally,the oxygen octahedral tilt exhibits continuous tilt patterns of a^(0)a^(0)a^(0)-a−b^(0)c−-a^(0)a^(0)c−-a^(0)b−c−-a−b−c−from the substrate to BNT film due to the constraint of the substrate and presents a strong correlation with cation displacement.These results are helpful to understand the underlying atomic structures and physical properties of BNT epitaxial thin films.

关键词： Hydrothermal synthesis Growth mechanism Interfacial coupling AC-STEM Octahedral tilt

A Golden2-like transcription factor, BnGLK1a, improves chloroplast development, photosynthesis, and seed weight in rapeseed

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Journal of Integrative Agriculture 2024年第5期23卷 1481-1493页

作者： Qianwei zhang Yuanyi Mao Zikun Zhao Xin Hu Ran Hu Nengwen Yin Xue Sun fujun Sun Si chen Yuxiang jiang Liezhao Liu Kun Lu Jiana Li Yu Pan Integrative Science Center of Germplasm Creation in Western China(Chongqing)Science City Southwest UniversityChongqing 400715China Academy of Agricultural Sciences Southwest UniversityChongqing 400715China Engineering Research Center of South Upland Agriculture Ministry of EducationChongqing 400715China Key Laboratory of Horticulture Science for Southern Mountainous Regions Ministry of Education/College of Horticulture and Landscape ArchitectureSouthwest UniversityChongqing 400715China

Enhancing photosynthetic efficiency is a major goal for improving crop yields under agricultural field conditions and is associated with chloroplast biosynthesis and development.In this study,we demonstrate that Golden2-like 1a(BnGLK1a)plays an important role in regulating chloroplast development and photosynthetic efficiency.Overexpressing BnGLK1a resulted in significant increases in chlorophyll content,the number of thylakoid membrane layers and photosynthetic efficiency in Brassica napus,while knocking down BnGLK1a transcript levels through RNA interference(RNAi)had the opposite effects.A yeast two-hybrid screen revealed that BnGLK1a interacts with the abscisic acid receptor PYRABACTIN RESISTANCE 1-LIKE 1-2(BnPYL1-2)and CONSTITUTIVE PHOTOMORPHOGENIC 9 SIGNALOSOME 5A subunit(BnCSN5A),which play essential roles in regulating chloroplast development and photosynthesis.Consistent with this,BnGLK1a-RNAi lines of B.napus display hypersensitivity to the abscisic acid(ABA)response.Importantly,overexpression of BnGLK1a resulted in a 10%increase in thousand-seed weight,whereas seeds from BnGLK1a-RNAi lines were 16%lighter than wild type.We propose that BnGLK1a could be a potential target in breeding for improving rapeseed productivity.Our results not only provide insights into the mechanisms of BnGLK1a function,but also offer a potential approach for improving the productivity of Brassica species.

关键词： Brassica napus BnGLK1a chloroplast development photosynthetic efficiency yield

Resveratrol and Sir2 Reverse Sleep and Memory Defects Induced by Amyloid Precursor Protein

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Neuroscience Bulletin 2023年第7期39卷 1117-1130页

作者： Yuping Hao Lingzhan Shao Jianan Hou Yan Zhang Yuqian Ma Jinhao Liu Chuan Xu fujun chen Li-Hui Cao Yong Ping Bio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders(Ministry of Education)Shanghai Jiao Tong UniversityShanghai 200240China School of Basic Medical Sciences Capital Medical UniversityBeijing 100069China

Resveratrol(RES),a natural polyphenolic phytochemical,has been suggested as a putative anti-aging molecule for the prevention and treatment of Alzheimer’s disease(AD)by the activation of sirtuin 1(Sirt1/Sir2).In this study,we tested the effects of RES and Sirt1/Sir2 on sleep and courtship memory in a Drosophila model by overexpression of amyloid precursor protein(APP),whose duplications and mutations cause familial AD.We found a mild but significant transcriptional increase of Drosophila Sir2(dSir2)by RES supplementation for up to 17 days in APP flies,but not for 7 days.RES and dSir2 almost completely reversed the sleep and memory deficits in APP flies.We further demonstrated that dSir2 acts as a sleep promotor in Drosophila neurons.Interestingly,RES increased sleep in the absence of dSir2 in dSir2-null mutants,and RES further enhanced sleep when dSir2 was either overexpressed or knocked down in APP flies.Finally,we showed that Aβaggregates in APP flies were reduced by RES and dSir2,probably via inhibiting Drosophilaβ-secretase(dBACE).Our data suggest that RES rescues the APP-induced behavioral deficits and Aβburden largely,but not exclusively,via dSir2.

关键词： Resveratrol Sir2 Sleep Amyloid precursor protein β-Secretase Drosophila

A novel feature susceptibility approach for a PEMFC control system based on an improved XGBoost-Boruta algorithm

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能源与人工智能(英文)

能源与人工智能(英文) 2023年第2期12卷 103-115页

作者： Xinjie Yuan fujun chen Zenggang Xia Linlin Zhuang Kui Jiao Zhijun Peng Bowen Wang Richard Bucknall Konrad Yearwood Zhongjun Hou Shanghai Hydrogen Propulsion Technology Co. Ltd.1788 Xiechun RoadShanghai 201804China State Key Laboratory of Engines Tianjin University135 Yaguan RoadTianjin 300350China Department of Mechanical Engineering University College London(UCL)Torrington PlaceLondon WC1E 7JEUnited Kingdom

Data-driven modelling methods are being developed in the quest to achieve more accurate performance prediction of protons exchange membrane fuel cell (PEMFC) systems in response to their complicated physicochemical phenomena. However, there is little research in this field detailing the pre-processing and selection of balance of plants (BOP) features for the input layer of system performance prediction at different current densities. Furthermore, most of the previous research applies neural networks based on simulation data rather than real-time bench or vehicle operation datasets which leads to low robustness and unreliable practical results. This paper details the application of a novel algorithm denoted XGBoost-Boruta, which utilises the combination of an ensemble learning approach and a wrapping approach, to improve the robustness of feature selection and to increase the accuracy and robustness of PEMFC system performance prediction. By introduction of the Z score and shadow features to eliminate the randomness of conventional ensemble learning methods, seven key controllable BOP variables of the hydrogen anode, air cathode and cooling subsystems are selected as the original input variables to determine their dependency on the stack voltage. Two case studies are presented for verification and validation of the proposed algorithm based on the real-time dataset of bench experimental data and data obtained from heavy truck operation at current densities ranging from 100 to 1500 mA/cm2. The feature selection strategy, based on the proposed XGBoost-Boruta algorithm, largely decreases the RMSE by 23.8% and 14.1% and the R^(2) increases by 0.06 and 0.04 of both the bench experimental and the heavy truck validation datasets respectively.

关键词： Boruta Extreme gradient boosting(XGBoost) Feature selection Proton exchange membrane fuel cell(PEMFC)

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SAC-OCDMA系统三分支信号检测方案

光通信技术 2024年第1期48卷 66-70页

作者：陈富军驻马店职业技术学院河南省电动车辆智能制造工程技术研究中心河南驻马店463000

为了解决三分支信号检测(TBSD)方案的上界表达式不精确的问题,提出了一种频谱-振幅编码光码分多址(SAC-OCDMA)系统TBSD方案,建立了一个严谨的数学模型,并对该方案进行了数值评估和仿真。仿真结果表明,该方案在传输速率为500 Mb/s、1 Gb/... 详细信息

为了解决三分支信号检测(TBSD)方案的上界表达式不精确的问题,提出了一种频谱-振幅编码光码分多址(SAC-OCDMA)系统TBSD方案,建立了一个严谨的数学模型,并对该方案进行了数值评估和仿真。仿真结果表明,该方案在传输速率为500 Mb/s、1 Gb/s时能够完全消除多用户干扰(MUI),而在传输速率为5 Gb/s时则可以消除大部分MUI,证明了数学模型的精确性。

关键词：光码分多址系统多用户干扰信号检测三分支信号检测

基于故障树和贝叶斯网络的履带车辆行星变速机构可靠性分析

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机械强度 2024年第1期46卷 129-135页

作者：陈嘉慧米洁张胜伦陈富军北京信息科技大学机电工程学院北京100192

行星变速机构作为履带车辆传动系统的核心部件,其可靠性直接影响履带车辆的正常运行。以履带车辆行星变速机构为研究对象,基于实测试验结果建立故障树,将故障树转化为贝叶斯网络(Bayesian Network,BN)模型,并考虑行星变速机构正常、普... 详细信息

行星变速机构作为履带车辆传动系统的核心部件,其可靠性直接影响履带车辆的正常运行。以履带车辆行星变速机构为研究对象,基于实测试验结果建立故障树,将故障树转化为贝叶斯网络(Bayesian Network,BN)模型,并考虑行星变速机构正常、普通故障、严重故障3种状态进行可靠性分析。研究结果表明,行星变速机构失效概率为89.34×10^(-8)h^(-1),其工作400 h的可靠度为0.99964,符合设计要求;利用贝叶斯网络双向计算的功能,可知当行星变速机构发生失效,由主轴断裂或摩擦片烧蚀、翘曲、断裂或齿轮疲劳断齿引起的可能性较大。为后续装备检修、改进设计提供理论依据。

关键词：故障树分析贝叶斯网络多态可靠性行星变速机构

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基于滑模神经网络直接瞬时转矩控制的优化

电机与控制应用 2024年第4期51卷 102-109页

作者：赵晨邓福军大连交通大学自动化与电气工程学院辽宁大连116052

针对开关磁阻电机在滞环控制策略中存在的较大转矩脉动问题,在传统直接瞬时转矩控制的基础上引入了反向传播(BP)神经网络控制策略,以转矩误差的平方为性能指标函数对直接瞬时转矩控制进行优化调整,抑制了电机在运行时的转矩脉动。进一步... 详细信息

针对开关磁阻电机在滞环控制策略中存在的较大转矩脉动问题,在传统直接瞬时转矩控制的基础上引入了反向传播(BP)神经网络控制策略,以转矩误差的平方为性能指标函数对直接瞬时转矩控制进行优化调整,抑制了电机在运行时的转矩脉动。进一步,在整体双闭环控制策略基础上,引入滑模控制对转速环节进行改进,提高了系统的响应速度和鲁棒性。最后,利用Matlab/Simulink对传统直接瞬时转矩控制和改进直接瞬时转矩控制进行仿真测试,验证了所提策略的有效性和可行性。

关键词：开关磁阻电机滑模控制反向传播神经网络直接瞬时转矩控制

Progress in efficient doping of Al-rich AlGaN

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Journal of Semiconductors 2024年第2期45卷 10-20页

作者： Jiaming Wang fujun Xu Lisheng Zhang Jing Lang Xuzhou Fang Ziyao Zhang Xueqi Guo chen Ji chengzhi Ji Fuyun Tan Xuelin Yang Xiangning Kang Zhixin Qin Ning Tang Xinqiang Wang Weikun Ge Bo Shen State Key Laboratory of Artificial Microstructure and Mesoscopic Physics School of PhysicsPeking UniversityBeijing 100871China Beijing SinoGaN Semiconductor Technology Co. Ltd.Beijing 101399China Nano-optoelectronics Frontier Center of Ministry of Education Peking UniversityBeijing 100871China Collaborative Innovation Center of Quantum Matter Beijing 100871China

The development of semiconductors is always accompanied by the progress in controllable doping techniques.Taking AlGaN-based ultraviolet(UV)emitters as an example,despite a peak wall-plug efficiency of 15.3%at the wavelength of 275 nm,there is still a huge gap in comparison with GaN-based visible light-emitting diodes(LEDs),mainly attributed to the inefficient doping of AlGaN with increase of the Al composition.First,p-doping of Al-rich AlGaN is a long-standing challenge and the low hole concentration seriously restricts the carrier injection efficiency.Although p-GaN cladding layers are widely adopted as a compromise,the high injection barrier of holes as well as the inevitable loss of light extraction cannot be neglected.While in terms of n-doping the main issue is the degradation of the electrical property when the Al composition exceeds 80%,resulting in a low electrical efficiency in sub-250 nm UV-LEDs.This review summarizes the recent advances and outlines the major challenges in the efficient doping of Al-rich AlGaN,meanwhile the corresponding approaches pursued to overcome the doping issues are discussed in detail.

关键词： AlGaN-based UV-LEDs Al-rich AlGaN doping

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以二氢苊骨架构建的深蓝光有机电致发光材料

高等学校化学学报 2024年第1期45卷 43-52页

作者：王妍张富俊张校宇徐佳惠童碧海陈平孔辉安徽工业大学冶金与资源学院马鞍山243002 烟台大学物理与电子信息学院山东省高校光电子功能材料与光电子器件特色实验室烟台264005 南京大学配位化学国家重点实验室南京210023

合成了4种在二氢苊骨架上连接咔唑或三苯胺电子给体和氰基苯电子受体的发光材料,考察了电子给体连接方式及种类对材料光电性能的影响.目标化合物的单晶结构分析结果显示,位阻导致给/受体与二氢苊骨架不共平面,从而降低了共轭程度,消除... 详细信息

合成了4种在二氢苊骨架上连接咔唑或三苯胺电子给体和氰基苯电子受体的发光材料,考察了电子给体连接方式及种类对材料光电性能的影响.目标化合物的单晶结构分析结果显示,位阻导致给/受体与二氢苊骨架不共平面,从而降低了共轭程度,消除了分子间π⁃π堆积作用,分子间依靠大量的C—H…π分子间相互作用稳定,只有3CzAB存在分子内π⁃π堆积作用.4种化合物均具有非常高的热稳定性,5%热失重温度(Td,5%)高于343℃.这些材料在PMMA薄膜中的发光均为深蓝光发射(403~432 nm),光致发光效率高(0.60~0.94),荧光寿命为5.4~8.6 ns.电致发光性能测试结果表明,以三苯胺为给体的材料PaAB的电致发光性能最佳,最大亮度可达2427 cd/m,峰值电流效率、功率效率和外量子效率分别为2.43 cd/A,1.53 lm/W和1.58%,色坐标(CIEx,y)为(0.15,0.09),为深蓝光发射.

关键词：深蓝光分子有机电致发光二氢苊荧光

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液态金属催化裂解甲烷制氢动力学研究

高等学校化学学报 2024年第2期45卷 97-103页

作者：廖加术刘建星王思蜀陈波陈建军韦建军叶宗标芶富均四川大学原子核科学技术研究所成都610064 四川大学原子与分子物理研究所成都610064

液态金属催化甲烷热解是一种高效生产氢气且无二氧化碳排放的新兴技术.本文开发了一个液态金属裂解反应器催化甲烷热解的数值模型,在实验室自主搭建的液态金属制氢平台上得到的实验数据与模型预测结果吻合良好.该模型是基于甲烷在气液... 详细信息

液态金属催化甲烷热解是一种高效生产氢气且无二氧化碳排放的新兴技术.本文开发了一个液态金属裂解反应器催化甲烷热解的数值模型,在实验室自主搭建的液态金属制氢平台上得到的实验数据与模型预测结果吻合良好.该模型是基于甲烷在气液界面发生的催化热解、气泡内部发生的非催化热解过程和气泡上升过程中的流动行为,耦合了催化和非催化反应动力学和流体力学所建立的.使用气体体积流速、压力、气体成分、温度和液态金属性质(密度、黏度和表面张力)预测气泡尺寸和熔体中的气含率.该模型较好地预测了液态铜铋合金(Cu_(0.45)Bi_(0.55))催化甲烷热解实验中不同温度、不同甲烷进气流量和液态金属高度下的甲烷转化率,得到了催化甲烷热解过程中的气含率、表观气体速率和压力沿液态金属高度的分布.实验数据与模型预测结果的高度吻合证明了模型的可靠性,该模型未来将有助于反应器优化和氢产率提高.

关键词：液态金属反应动力学流体力学催化甲烷热解