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All‑Covalent Organic Framework Nanofilms Assembled Lithium‑Ion Capacitor to Solve the Imbalanced Charge Storage Kinetics

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Nano-Micro Letters 2024年第6期16卷 246-260页

作者： Xiaoyang Xu Jia Zhang Zihao Zhang guandan Lu Wei Cao Ning Wang Yunmeng Xia Qingliang Feng Shanlin Qiao College of Chemistry and Pharmaceutical Engineering Hebei University of Science and TechnologyShijiazhuang 050018People’s Republic of China School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi’an 710072People’s Republic of China Hebei Engineering Research Center of Organic Solid Photoelectric Materials for Electronic Information Shijiazhuang 050018People’s Republic of China

Free-standing covalent organic framework(COFs)nanofilms exhibit a remarkable ability to rapidly intercalate/de-intercalate Li^(+) in lithium-ion batteries,while simultaneously exposing affluent active sites in *** development of these nanofilms offers a promising solution to address the persistent challenge of imbalanced charge storage kinetics between battery-type anode and capacitor-type cathode in lithium-ion capacitors(LICs).Herein,for the first time,custom-made COFBTMB-TP and COFTAPB-BPY nanofilms are synthesized as the anode and cathode,respectively,for an all-COF nanofilm-structured *** COFBTMB-TP nanofilm with strong electronegative–CF3 groups enables tuning the partial electron cloud density for Li^(+) migration to ensure the rapid anode kinetic *** thickness-regulated cathodic COFTAPB-BPY nanofilm can fit the anodic COF nanofilm in the *** to the aligned 1. channel,2D aromatic skeleton and accessible active sites of COF nanofilms,the whole COFTAPB-BPY//COFBTMB-TP LIC demonstrates a high energy density of 31. mWh cm^(−3) at a high-power density of 6 W cm^(−3),excellent rate capability,good cycle stability with the capacity retention rate of 77%after *** COFTAPB-BPY//COFBTMB-TP LIC represents a new benchmark for currently reported film-type LICs and even film-type *** being comprehensively explored via ex situ XPS,7Li solid-state NMR analyses,and DFT calculation,it is found that the COFBTMB-TP nanofilm facilitates the reversible conversion of semi-ionic to ionic C–F bonds during lithium ***-TP exhibits a strong interaction with Li^(+) due to the C–F,C=O,and C–N bonds,facilitating Li^(+) desolation and absorption from the *** work addresses the challenge of imbalanced charge storage kinetics and capacity between the anode and cathode and also pave the way for future miniaturized and wearable LIC devices.

关键词： Covalent organic frameworks Lithium-ion capacitor Charge storage kinetic

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Bending Resistance Covalent Organic Framework Superlattice:“Nano‑Hourglass”‑Induced Charge Accumulation for Flexible In‑Plane Micro‑Supercapacitors

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Nano-Micro Letters 2023年第2期15卷 198-211页

作者： Xiaoyang Xu Zhenni Zhang Rui Xiong guandan Lu Jia Zhang Wang Ning Shuozhen Hu Qingliang Feng Shanlin Qiao College of Chemistry and Pharmaceutical Engineering Hebei University of Science and TechnologyShijiazhuang 050018People’s Republic of China State Key Laboratory of Chemical Engineering East China University of Science and TechnologyShanghai 200237People’s Republic of China School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi’an 710072People’s Republic of China Hebei Electronic Organic Chemicals Engineering Center Shijiazhuang 050018People’s Republic of China

Covalent organic framework(COF)film with highly exposed active sites is considered as the promising flexible selfsupported electrode for in-plane microsupercapacitor(MSC).Superlattice configuration assembled alternately by different nanofilms based on van der Waals force can integrate the advantages of each isolated layer to exhibit unexpected performances as MSC film electrodes,which may be a novel option to ensure energy ***,a mesoporous free-standing A-COF nanofilm(pore size is 3.9 nm,averaged thickness is 4.1.nm)with imine bond linkage and a microporous B-COF nanofilm(pore size is 1.5 nm,averaged thickness is 9.3 nm)withβ-keto-enamine-linkages are prepared,and for the first time,we assembly the two lattice matching films into sandwich-type superlattices via layer-by-layer transfer,in which ABA–COF superlattice stacking into a“nano-hourglass”steric configuration that can accelerate the dynamic charge transportation/accumulation and promote the sufficient redox reactions to energy *** fabricated flexible MSC–ABA–COF exhibits the highest intrinsic CV of 927.9 F cm^(−3) at 1. mV s^(−1. than reported two-dimensional alloy,graphite-like carbon and undoped COF-based MSC devices so far,and shows a bending-resistant energy density of 63.2 mWh cm^(−3) even after high-angle and repeat arbitrary bending from 0 to 1.0°.This work provides a feasible way to meet the demand for future miniaturization and wearable electronics.

关键词： In-plane micro-supercapacitor Covalent organic framework Free-standing nanofilm Superlattice Bending resistance

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基于混合特征学习的微博转发预测方法

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计算机应用与软件 2016年第11期33卷 249-252,257页

作者：马晓峰王磊陈观淡上海数据分析与处理技术研究所上海201112 中国科学院自动化研究所复杂系统管理与控制国家重点实验室北京100190

微博转发预测是研究信息传播的关键问题之一,对于舆情监控、广告投放、商业决策具有重要意义。用户兴趣、微博作者影响力及微博内容等信息均影响信息传播过程。转发行为预测的挑战性问题在于如何捕获更多有意义的影响因素以提高预测性... 详细信息

微博转发预测是研究信息传播的关键问题之一,对于舆情监控、广告投放、商业决策具有重要意义。用户兴趣、微博作者影响力及微博内容等信息均影响信息传播过程。转发行为预测的挑战性问题在于如何捕获更多有意义的影响因素以提高预测性能。提出基于混合特征学习的转发预测方法,该方法首先引入并分析了局部社会影响力特征、用户特征、微博内容特征的计算方法;接着,基于分类器建立预测模型;最后,比较了不同类型微博的转发预测效果。在新浪微博平台数据的实验结果表明,局部社会影响力特征、用户特征、微博内容特征都对转发预测有较大影响,其中微博内容特征的影响最大。随机森林预测效果最好,准确率达到83.1.;与朴素贝叶斯、逻辑回归、支持向量机模型相比,准确率平均提高约7.4%,最高提高约1..8%。另外,该方法对自然灾害、环境、审判、维权等类型的微博进行转发预测时,效果更加明显,说明这类事件转发的规律性更强。

关键词：微博混合特征学习转发预测

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