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Dynamics of self-hybridized exciton–polaritons in 2D halide perovskites

light(Science & Applications) 2024年第1期13卷 13-22页

作者： Surendra B.Anantharaman Jason Lynch Christopher E.Stevens Christopher Munley chentao li Jin Hou Hao Zhang Andrew Torma Thomas Darlington Francis Coen Kevin li Arka Majumdar PJames Schuck Aditya Mohite Hayk Harutyunyan Joshua R.Hendrickson Deep Jariwala Department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPA19104USA KBR Inc. BeavercreekOH45431USA Air Force Research Laboratory Sensors DirectorateWright-Patterson Air Force BaseOH45433USA Department of Physics University of WashingtonSeattleWA98195USA Department of Physics Emory UniversityAtlantaGA30322USA Department of Chemical and Biomolecular Engineering Rice UniversityHoustonTX77005USA Department of Materials Science and Nanoengineering Rice UniversityHoustonTX77005USA Applied Physics Program Smalley‐Curl InstituteRice UniversityHoustonTX77005USA Department of Mechanical Engineering Columbia UniversityNew YorkNY10027USA Department of Electrical and Computer Engineering University of WashingtonSeattleWA98195USA

Excitons,bound electron–hole pairs,in two-dimensional hybrid organic inorganic perovskites(2D HOIPs)are capable of forming hybrid light-matter states known as exciton-polaritons(E–Ps)when the excitonic medium is confined in an optical *** the case of 2D HOIPs,they can self-hybridize into E–Ps at specific thicknesses of the HOIP crystals that form a resonant optical cavity with the ***,the fundamental properties of these self-hybridized E–Ps in 2D HOIPs,including their role in ultrafast energy and/or charge transfer at interfaces,remain ***,we demonstrate that>0.5µm thick 2D HOIP crystals on Au substrates are capable of supporting multiple-orders of self-hybridized E–P *** E–Ps have high Q factors(>100)and modulate the optical dispersion for the crystal to enhance sub-gap absorption and *** varying excitation energy and ultrafast measurements,we also confirm energy transfer from higher energy E–Ps to lower energy E–***,we also demonstrate that E–Ps are capable of charge transport and transfer at *** findings provide new insights into charge and energy transfer in E–Ps opening new opportunities towards their manipulation for polaritonic devices.

关键词： charge polar excitation

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基于分区和滑动时间窗策略的配电网线路参数辨识

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智慧电力 2024年第3期52卷 117-124页

作者：李晨涛欧颖雅季天瑶张禄亮华南理工大学电力学院广东广州510006

针对配电网线路参数辨识困难、不精确的问题,提出了一种基于分区和滑动时间窗策略的配电网线路参数辨识的方法。首先,使用线性解耦潮流模型最小二乘回归得到线路初始辨识参数。然后,将配电网分成若干个区域,并采用滑动时间窗策略,在每... 详细信息

针对配电网线路参数辨识困难、不精确的问题,提出了一种基于分区和滑动时间窗策略的配电网线路参数辨识的方法。首先,使用线性解耦潮流模型最小二乘回归得到线路初始辨识参数。然后,将配电网分成若干个区域,并采用滑动时间窗策略,在每个时间窗中对每个区域内的线路参数通过高斯-牛顿法进行精确辨识。最后,对所有时间窗内的辨识结果进行离群值检测,综合各个时间窗的辨识结果得到最终的辨识值。所提方法提高了线路参数的辨识精度,并且可以避免精确辨识时选取到坏数据导致辨识结果偏离真实值。

关键词：配电网线路参数辨识网络分区滑动时间窗数据驱动

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基于矢量空间状态优化的GIS机械故障检测方法

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高压电器 2024年第6期60卷 65-72页

作者：赵宏梅丛培杰李晨涛曲德宇魏宏升广东电网有限责任公司广州供电局广州510620

GIS机械故障产生的声音信号蕴含了大量设备运行状态信息,基于声纹识别技术信号分析方法是实现GIS带电检测和故障诊断的有效手段。文中提取了GIS不同运行工况下的LPCC和MFCC特征向量,F比计算结果表明MFCC是一种更具区分度的特征向量。在... 详细信息

GIS机械故障产生的声音信号蕴含了大量设备运行状态信息,基于声纹识别技术信号分析方法是实现GIS带电检测和故障诊断的有效手段。文中提取了GIS不同运行工况下的LPCC和MFCC特征向量,F比计算结果表明MFCC是一种更具区分度的特征向量。在此基础上,利用了粒子群优化算法的全局搜索能力和进化规划算法的局部调节能力,以粒子群优化为主,引入进化规划算法的变异操作,形成了一种基于矢量空间状态优化的混合优化方法。采用文中提出的矢量量化模型对了110 kV GIS不同运行工况下声音信号进行检测和识别,实验结果表明文中方案得到的码书失真度的均值和方差更小,具有更好的优化性能和稳定性,且同一条件下的识别准确率约为90%~96%,优于经典的LBG迭代算法。

关键词：机械故障声纹识别带电检测粒子群优化进化规划矢量量化失真度全局搜索

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不同微结构静压轴承油膜流动特性研究

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润滑与密封 2024年第1期49卷 24-30页

作者：段润泽贾若彤李陈涛刘联胜刘腾河北工业大学能源与环境工程学院天津300000 河北工业大学机械工程学院天津300000

在剪切力和压缩力共同作用下,液体静压轴承黏性油膜的液阻和流速会发生变化,导致油膜的散热能力不稳定,而增加油膜流动阻力,减小流动速度可以有效提高油膜的散热能力。为增加流体的扰动进而增强换热,在静压轴承工作面上加工不同的微结构... 详细信息

在剪切力和压缩力共同作用下,液体静压轴承黏性油膜的液阻和流速会发生变化,导致油膜的散热能力不稳定,而增加油膜流动阻力,减小流动速度可以有效提高油膜的散热能力。为增加流体的扰动进而增强换热,在静压轴承工作面上加工不同的微结构(矩形、三角形、椭圆形),通过数值仿真方法研究微结构在不同跨度、不同深度、不同间距下对轴承工作面油膜流动速度的影响,得到黏性油膜增阻减速的有效范围。结果表明:综合微结构深度、跨度、间距变化对油膜液阻的影响,矩形微结构增阻效果最明显,椭圆形微结构次之,三角形微结构最差;当微结构间距单一变化时,只有矩形微结构可起到降低流场平均速度的作用。因此,矩形微结构可起到增阻减速的作用,且增阻减速的最佳间距范围为0.01~0.04 mm。

关键词：静压轴承黏性油膜微结构流动特性

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Inflammation and aging:signaling pathways and intervention therapies

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Signal Transduction and Targeted Therapy 2023年第7期8卷 3267-3295页

作者： Xia li chentao li Wanying Zhang Yanan Wang Pengxu Qian He Huang Bone Marrow Transplantation Center the First Affiliated HospitalZhejiang University School of MedicineHangzhouPeople’s Republic of China liangzhu Laboratory Zhejiang University Medical Center1369 West Wenyi RoadHangzhou 311121China Institute of Hematology Zhejiang University&Zhejiang Engineering Laboratory for Stem Cell and ImmunotherapyHangzhou 310058China Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy Hangzhou 310058China Zhejiang UniversityUniversity of Edinburgh Institute Zhejiang University School of MedicineZhejiang UniversityHainingChina Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital Zhejiang University School of MedicineHangzhou 310058China

Aging is characterized by systemic chronic inflammation,which is accompanied by cellular senescence,immunosenescence,organ dysfunction,and age-related *** the multidimensional complexity of aging,there is an urgent ne... 详细信息

关键词： aging reduction dimensionality

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Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness

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Advances in Atmospheric Sciences 2024年第7期41卷 1379-1390页

作者： chentao SONG Jiang ZHU Xichen li Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China

In recent years,deep learning methods have gradually been applied to prediction tasks related to Arctic sea ice concentration,but relatively little research has been conducted for larger spatial and temporal scales,mainly due to the limited time coverage of observations and reanalysis ***,deep learning predictions of sea ice thickness(SIT)have yet to receive ample *** this study,two data-driven deep learning(DL)models are built based on the ConvLSTM and fully convolutional U-net(FC-Unet)algorithms and trained using CMIP6 historical simulations for transfer learning and fine-tuned using reanalysis/*** models enable monthly predictions of Arctic SIT without considering the complex physical processes *** comprehensive assessments of prediction skills by season and region,the results suggest that using a broader set of CMIP6 data for transfer learning,as well as incorporating multiple climate variables as predictors,contribute to better prediction results,although both DL models can effectively predict the spatiotemporal features of SIT *** the predicted SIT anomalies of the FC-Unet model,the spatial correlations with reanalysis reach an average level of 89%over all months,while the temporal anomaly correlation coefficients are close to unity in most *** models also demonstrate robust performances in predicting SIT and SIE during extreme *** effectiveness and reliability of the proposed deep transfer learning models in predicting Arctic SIT can facilitate more accurate pan-Arctic predictions,aiding climate change research and real-time business applications.

关键词： Arctic sea ice thickness deep learning spatiotemporal sequence prediction transfer learning

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稻田控制排水对高邮灌区河道洪水过程的影响

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江苏水利 2024年第4期 57-61页

作者：肖洋李晨韬郭相平裴子玥河海大学水利水电学院江苏南京210098 河海大学农业工程学院江苏南京210098 苏州科技大学环境科学与工程学院江苏苏州215009

以高邮灌区为例,采用水文-水动力模型,研究稻田控制排水措施对河道洪峰流量、水位和洪水过程的影响。结果表明,雨前通过控制灌溉适当降低田间水位可减轻稻田出流峰值,随着稻田控制水位的增加,稻田径流峰值逐渐降低。通过稻田控制排水,... 详细信息

以高邮灌区为例,采用水文-水动力模型,研究稻田控制排水措施对河道洪峰流量、水位和洪水过程的影响。结果表明,雨前通过控制灌溉适当降低田间水位可减轻稻田出流峰值,随着稻田控制水位的增加,稻田径流峰值逐渐降低。通过稻田控制排水,可降低田间出口峰值流量,改变灌区河道洪水过程,降低河道洪峰流量和水位,减轻灌区内部以及附近河道的防洪压力。

关键词：稻田控制排水洪峰流量河道水位高邮灌区

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辽宁省设计暴雨点面折减系数计算方法分析

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水利规划与设计 2022年第1期 44-48页

作者：李晨涛辽宁省本溪水文局辽宁本溪117000

从辽宁省1907年有暴雨记录以来选取暴雨中心突出、暴雨中心雨量大于200mm的43场次暴雨数据,基于动点动面方法对辽宁省设计暴雨点面折减系数进行计算,得到辽宁省6大水文分区的暴雨雨量-时段-面积曲线,并对各分区曲线进行方程拟合,得到拟... 详细信息

从辽宁省1907年有暴雨记录以来选取暴雨中心突出、暴雨中心雨量大于200mm的43场次暴雨数据,基于动点动面方法对辽宁省设计暴雨点面折减系数进行计算,得到辽宁省6大水文分区的暴雨雨量-时段-面积曲线,并对各分区曲线进行方程拟合,得到拟合方程,利用设计暴雨点面折减系数计算公式和分区拟合方程可实现不同计算时段的设计暴雨面雨量计算。

关键词：点面折减系数暴雨雨量动点动面方法设计暴雨计算

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Leaching kinetics of fluorine during the aluminum removal from spent li-ion battery cathode materials

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Journal of Environmental Sciences 2024年第4期138卷 312-325页

作者： Shengjie li Jianxin Zhu Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

The high content of aluminum(Al)impurity in the recycled cathode powder seriously affects the extraction efficiency of Nickel,Cobalt,Manganese,and lithium resources and the actual commercial value of recycled materials,so Al removal is crucially important to conform to the industrial standard of spent li-ion battery cathode *** this work,we systematically investigated the leaching process and optimum conditions associated with Al removal from the cathode powder materials collected in a wet cathode-powder peeling and recycling production line of spent li-ion batteries(liBs).Moreover,we specifically studied the leaching of fluorine(F)synergistically happened along with the removal process of Al,which was not concerned about in other studies,but one of the key factors affecting pollution prevention in the recovery *** mechanism of the whole process including the leaching of Al and F from the cathode powder was indicated by using NMR,FTIR,and XPS,and a defluoridation process was preliminarily investigated in this *** leaching kinetics of Al could be successfully described by the shrinking core model,controlled by the diffusion process and the activation energy was 11.14 kJ/***,the leaching of F was attributed to the dissolution of liPF6and decomposition of PVDF,and the kinetics associated was described by Avrami *** interaction of Al and F is advantageous to realize the defluoridation to some *** is expected that our investigation will provide theoretical support for the large-scale recycling of spent liBs.

关键词： Al removal F leaching Cathode powder Heating alkali leaching Leaching kinetics

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Highly-chlorinated inert and robust interphase without mineralization of oxide enhancing high-rate li metal batteries

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Chinese Chemical Letters 2024年第6期35卷 239-243页

作者： Long li Kang Yang Chenpeng Xi Mengchao li Borong li Gui Xu Yuanbin Xiao Xiancai Cui Zhiliang liu lingyun li Yan Yu Chengkai Yang Key Laboratory of Advanced Materials Technologies International(HongKong Macao and Taiwan)Joint Laboratory on Advanced Materials TechnologiesSchool of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China College of Material Sciences and Chemical Engineering Harbin Engineering UniversityHarbin 150001China

Side reactions and dendrite growth triggered by the unstable interface and inhomogeneous deposition have become the biggest obstacle to the commercialization for lithium metal *** this study,a highly-chlorinated organic-inorganic hybrid interfacial protective layer is developed by rationally tuning the interfacial passivation and robustness to achieve the convenient and efficient li metal *** polyvinyl chloride(PVC)can effectively resist water and oxygen,which is confirmed by density functional *** organic-dominant solid electrolyte interphases(SEI)with lithium chloride are investigated by the X-ray photoelectron spectroscopy(XPS)with little mineralization of oxide,such as li_(2)O and li_(2)CO_(3).With such artificial SEI,a uniform and dense lithium deposition morphology are formed and an ultra-long stable cycle of over 500 h are achieved even at an ultra-high current density of 10 m A/cm^(2).Moreover,the simple and convenient protected anode also exhibits excellent battery stability when paired with the liNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(NCM811)and liFePO_(4)(LFP)cathode,showing great potential for the commercial application of lithium metal batteries.

关键词： Highly-chlorinated Water/oxygen resistance Stable interphase Dendrite-free lithium metal batteries High-rate

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