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Li,na,and Cs-based metal-organic frameworks for room temperature phosphorescence applications

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Science China Chemistry 2025年

作者： jiaqi Ma Rui Feng Yanyuan jia Mingshi Zhang Shuo guo College of Chemistry and Chemical Engineering Inner Mongolia University School of Materials Science and Engineering Smart Sensing Interdisciplinary Science Center Nankai University & TKL of Metal and Molecule Based Material Chemistry Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) Nankai University Department of Chemistry and Biochemistry University of California San Diego

The conventional design of metal-organic frameworks (MOFs) with room-temperature phosphorescence (RTP) mostly relies on using heavy metals,as the heavy atom effect can effectively increase the efficiency of intersystem crossing (ISC) to get a better phosphorescence *** the first time,we reported the highly efficient RTP of a lithium-based MOF IMU-101 with a lifetime (τ) of 299 ms and a quantum yield (QY) of 4.91%.In addition,MOFs IMU-102 and IMU-103,with sodium and cesium as metal nodes,were successfully *** phosphorescence properties of this series of alkali metal MOFs were systematically studied and *** crystallography and computational calculation show that the mechanism for achieving RTP for this material lies in the ultrashort coordination bond of Li,which enables the reduction of non-radiative ***-101,as a cheap and environmentally friendly room-temperature phosphorescent material,has been further developed into composite polymer inks and bulk *** makes them promising for applications in anti-counterfeiting and information encryption.

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Porous Organic Cage‑Based Quasi‑Solid‑State Electrolyte with Cavity‑Induced Anion‑Trapping Effect for Long‑Life Lithium Metal Batteries

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nano-Micro Letters 2025年第2期17卷 376-386页

作者： Wei-Min Qin Zhongliang Li Wen‑Xia Su jia‑Min Hu Hanqin Zou Zhixuan Wu Zhiqin Ruan Yue‑Peng Cai Kang Li Qifeng Zheng School of Chemistry South China Normal UniversityGuangzhou 510006People’s Republic of China Key Laboratory of Functional Metal‑Organic Compounds of Hunan Province College of Chemistry and Material ScienceHengyang Normal UniversityHengyang 421008People’s Republic of China guangzhou Key Laboratory of Energy Conversion and Energy Storage Materials Guangzhou 510006People’s Republic of China

Porous organic cages(POCs)with permanent porosity and excellent host–guest property hold great potentials in regulating ion transport behavior,yet their feasibility as solid-state electrolytes has never been testified in a practical ***,we design and fabricate a quasi-solid-state electrolyte(QSSE)based on a POC to enable the stable operation of Li-metal batteries(LMBs).Benefiting from the ordered channels and cavity-induced anion-trapping effect of POC,the resulting POC-based QSSE exhibits a high Li+transference number of 0.67 and a high ionic conductivity of 1.25×10^(−4) S cm^(−1) with a low activation energy of 0.17 *** allow for homogeneous Li deposition and highly reversible Li plating/stripping for over 2000 *** a proof of concept,the LMB assembled with POC-based QSSE demonstrates extremely stable cycling performance with 85%capacity retention after 1000 ***,our work demonstrates the practical applicability of POC as SSEs for LMBs and could be extended to other energy-storage systems,such as na and K batteries.

关键词： Porous organic cage Cavity-induced anion-trapping Quasi-solid-state electrolyte Homogeneous Li+flux Lithium metal battery

Jensen’s Inequality Under Nonlinear Expectation generated by BSDE with Jumps

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Acta Mathematicae Applicatae Sinica 2019年第4期35卷 873-884页

作者： na ZHANg guang-yan jia School of Science Tianjin University of Technology Tianjin 300384 China Zhongtai Securities Institute for Financial Studies Shandong University Jinan 250100 China

In this paper, we study Jensen’s inequality under f-expectation, which is a nonlinear expectation generated by backward stochastic differential equations(BSDEs) with jumps. We connect f-convex functions with the viscosity solutions of a kind of integral partial differential equations(IPDEs) with non-local *** find that under Lipschitz condition, the f-convex function is still convex in the usual sense, i.e., the jumps shrink the range of ‘convex’ functions.

关键词： backward stochastic differential equation with jumps f-convexity Jensen’s inequality

A New Representation for Second Order Stochastic Integral-differential Operators and Its Applications

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Acta Mathematicae Applicatae Sinica 2015年第1期31卷 59-70页

作者： guang-yan jia na ZHANg Qilu Securities Institute for Financial Studies Shandong University College of Management and Economics Tianjin University China Center for Social Computing Tianjin University

In this paper, we＇ll prove new representation theorems for a kind of second order stochastic integral- differential operator by stochastic differential equations （SDEs） and backward stochastic differential equatio... 详细信息

关键词： backward stochastic differential equation with jumps representation theorem stochastic integral-differential operator f-expectation

A New Encrypted Traffic Identification Model Based on VAE-LSTM-DRN

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Computers, Materials & Continua 2024年第1期78卷 569-588页

作者： Haizhen Wang Jinying Yan na jia College of Computer and Control Engineering Qiqihar UniversityQiqihar161006China Heilongjia.g Key Laboratory of Big Data Network Security Detection and Analysis Qiqihar UniversityQiqiharChina

Encrypted traffic identification pertains to the precise acquisition and categorization of data from traffic datasets containing imbalanced and obscured *** extraction of encrypted traffic attributes and their subsequent identification presents a formidable *** existing models have predominantly relied on direct extraction of encrypted traffic data from imbalanced datasets,with the dataset’s imbalance significantly affecting the model’s *** the present study,a new model,referred to as UD-VLD(Unbalanced Dataset-VAE-LSTM-DRN),was proposed to address above *** proposed model is an encrypted traffic identification model for handling unbalanced *** encoder of the variational autoencoder(VAE)is combined with the decoder and Long-short term Memory(LSTM)in UD-VLD model to realize the data enhancement processing of the original unbalanced *** enhanced data is processed by transforming the deep residual network(DRN)to address neural network gradient-related ***,the data is classified and *** UD-VLD model integrates the related techniques of deep learning into the encrypted traffic recognition technique,thereby solving the processing problem for unbalanced *** UD-VLD model was tested using the publicly available Tor dataset and VPN *** UD-VLD model is evaluated against other comparative models in terms of accuracy,loss rate,precision,recall,F1-score,total time,and ROC *** results reveal that the UD-VLD model exhibits better performance in both binary and multi classification,being higher than other encrypted traffic recognition models that exist for unbalanced ***,the evaluation performance indicates that the UD-VLD model effectivelymitigates the impact of unbalanced data on traffic *** can serve as a novel solution for encrypted traffic identification.

关键词： Data enhancement LSTM deep residual network VAE

Digital watermarking algorithm based on scale-invariant feature regions in non-subsampled contourlet transform domain

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Journal of Systems Engineering and Electronics 2015年第6期26卷 1310-1315页

作者： jian Zhao na Zhang jian jia Huanwei Wang School of Information Science and Technology Northwest University

Contraposing the need of the robust digital watermark for the copyright protection field, a new digital watermarking algorithm in the non-subsampled contourlet transform （NSCT） domain is proposed. The largest energy sub-band after NSCT is selected to embed watermark. The watermark is embedded into scaleinvariant feature transform （SIFT） regions. During embedding, the initial region is divided into some cirque sub-regions with the same area, and each watermark bit is embedded into one sub-region. Extensive simulation results and comparisons show that the algorithm gets a good trade-off of invisibility, robustness and capacity, thus obtaining good quality of the image while being able to effectively resist common image processing, and geometric and combo attacks, and normalized similarity is almost all reached.

关键词： multi-scale geometric analysis (MgA) non-subsampled contourlet transform (NSCT) scale-invariant featureregion.

Fabrication,microstructures,and properties of copper matrix composites reinforced by molybdenum-coated carbon nanotubes

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Rare Metals 2011年第4期30卷 401-407页

作者： NIE Junhui jia Chengchang jia Xian ZHANg Yafeng SHI na LI Yi School of Matertals Sctence and Engmeermg Umverszty of Sctence and Technology Beijing Beijing 100083 China China Iron ＆ Steel Research Institute group Beijing 100081 China

Multiwalled carbon nanotubes （CNTs） were coated by a molybdenum layer using carbonyl thermal decomposition process with a precursor of molybdenum hexacarbonyl. The Mo-coated CNTs （Mo-CNTs） were added into copper powders to fabricate Mo-CNT/Cu composites by means of mechanical milling followed by spark plasma sintering. The Mo-CNTs were uniform dispersion in the Cu matrix when their contents were 2.5 vo1.%-7.5 vol.%, while some Mo-CNT clusters were clearly observed at additions of 10.0 vo1.%-15.0 vol.% Mo-CNTs in the mixture. The mechanical, electrical, and thermal properties of the Mo-CNT/Cu composites were characterized, and the results showed that the tensile strength and hardness were 2.0 and 2.2 times higher than those of CNT-free specimens, respectively. Moreover, the Mo-CNT/Cu composites exhibited an enhanced thermal conductivity but inferior electrical conductivity compared with sintered pure Cu. The uncoated CNT/Cu composites were fabricated by the similar processes, and the measured tensile strength, hardness, thermal conductivity, and electrical conductivity of the CNT/Cu composites were lower than those of the Mo-CNT/Cu composites.

关键词： metallic matrix composites mechanical properties ball milling molybdenum carbon nanotubes

Chlorobenzenes in waterweeds from the Xijia.g River (guangdong section) of the Pearl River

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Journal of Environmental Sciences 2007年第10期19卷 1171-1177页

作者： DU Qing-ping jia Xiao-shan HUANg Cai-na Faculty of Environmental Science and Engineering Guangdong University of Technology Guangzhou 510006 China School of Environmental Science and Engineering Sun Yat-sen University Guangzhou 510275 China

The Xijia.g River is the major source of water for about 4.5 millions of urban population and 28.7 millions of rural population. The water quality is very important for the health of the rural population. The concentration and distribution of chlorobenzenes （CBs） in both water and waterweeds collected from 4 stations in the Xijia.g River （gangdong section） of the Pearl River in April and November were determined. The result showed that nearly every congener of CBs was detected. The total contents of CBs （ZCBs） in the river water ranged from 111.1 to 360.0 ng/L in April and from 151.9 to 481.7 ng/L in November, respectively. The pollution level of CBs in the water in April was higher than that in November. The contents of ZCBs in waterweeds ranged from 13.53×10^2μg/g to 38.27×10^2μg/g dry weight （dw）. There was no significant difference between April and November in waterweeds. The distribution of CBs in roots, caulis, and leaves of Vallisneria spiralis L. showed different patterns. The leaves mainly contained low-molecular-weight CBs （DCBs）, whereas the roots accumulated more PCBs and HCBs. The average lgBCFlip （bioconcentration factor） of CBs ranged from 0.64 to 3.57 in the waterweeds. The spatial distribution character of CBs in the Xijia.g River was： Fengkai County 〈 Yunan County 〈 Yun＇an County 〈 gaoyao County according to the ZCBs, and the pollution deteriorated from the upstream to the downstream of the Xijia.g River. Further analysis demonstrated that the discharge of waste containing CBs may be the main source of CBs pollution in the Xijia.g River .

关键词： chlorobenzenes pollution water water weeds distribution bioconcentration factor

Machine Learning Empowered Beam Management for Intelligent Reflecting Surface Assisted MmWave Networks

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China Communications 2020年第10期17卷 100-114页

作者： Chenglu jia Hui gao na Chen Yuan He Key Lab of Trustworthy Distributed Computing and Service Beijing University of Posts and TelecommunicationsBeijing 100876China nara Institute of Science and Technology Japan

Recently,intelligent reflecting surface(IRS)assisted mmWave networks are emerging,which bear the potential to address the blockage issue of the millimeter wave(mmWave)communication in a more cost-effective *** particular,IRS is built by passive and programmable electromagnetic elements that can manipulate the mmWave propagation channel into a more favorable condition that is free of blockage via judicious joint base station(BS)-IRS transmission ***,the coexistence of IRSs and mmWave BSs complicates the network architecture,and thus poses great challenges for efficient beam management(BM)that is one critical prerequisite for high performance mmWave *** this paper,we systematically evaluate the key issues and challenges of BM for IRS-assisted mmWave networks to bring insights into the future network ***,we carefully classify and discuss the extensibility and limitations of the existing BM of conventional mmWave towards the IRS-assisted new ***,we propose a novel machine learning empowered BM framework for IRS-assisted networks with representative showcases,which processes environmental and mobility awareness to achieve highly efficient BM with significantly reduced system ***,some interesting future directions are also suggested to inspire further researches.

关键词： mmWave networks IRS beam management machine learning