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A surface engineering strategy for the stabilization of zinc metal anodes with montmorillonite layers toward long-life rechargeable aqueous zinc ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 94-105页

作者： Wenbo Wang Ruifeng Xu Xu Zhang Peiyu Wang Bao Yang Bingjun Yang Juan Yang Kailimai Su Pengjun Ma Yanan Deng Xianfeng fan Wanjun Chen Key Laboratory for Electronic Materials College of Electrical Engineering Northwest Minzu University Resource Chemistry and Energy Materials Research Center State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences University of Chinese Academy of Sciences Institute for Materials and Processes School of Engineering University of Edinburgh

Rechargeable aqueous zinc-ion batteries （AZIBs） exhibit appreciable potential in the domain of electrochemical energy ***,there are serious challenges for AZIBs,for instance zinc dendrite growth,hydrogen evolution reaction （HER）,and corrosion side ***,we propose a surface engineering modification strategy for coating the montmorillonite （MMT） layer onto the surface of the Zn anode to tackle these issues,thereby achieving high cycling stability for rechargeable *** results reveal that the MMT layer on the surface of the Zn anode is able to provide ordered zincophilic channels for zinc ions migration,facilitating the reaction kinetics of zinc *** functional theory（DFT） calculations and water contact angle （CA） tests prove that MMT@Zn anode exhibits superior adsorption capacity for Zn2+and better hydrophobicity than the bare Zn anode,thereby achieving excellent cycling ***,the MMT@Zn||MMT@Zn symmetric cell holds the stable cycling over 5600 h at 0.5 mA cm-2and 0.125 m A h cm-2,even exceeding 1800 h long cycling under harsh conditions of 5 m A cm-2and 1.25 m A h *** MMT@Zn||V2O5full cell reaches over 3000 cycles at 2 A g-1with excellent rate ***,this surface engineering modification strategy for enhancing the electrochemical performance of AZIBs represents a promising application.

关键词： Surface engineering strategy Montmorillonite layer Protection mechanism of Zn anode Cycling stability Aqueous zinc ion batteries

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L_(2,1)-norm robust regularized extreme learning machine for regression using CCCP method

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The Journal of China Universities of Posts and Telecommunications 2023年第2期30卷 61-72页

作者： Wu Qing Wang fan fan Jiulun Hou jing School of Automation Xi'an University of Posts and TelecommunicationsXi'an 710121China School of Telecommunication and Information Engineering&School of Artificial Intelligence Xi'an University of Posts and TelecommunicationsXi'an 710121China School of Humanities and Foreign Languages Xi'an University of Posts and TelecommunicationsXi'an 710121China

As a way of training a single hidden layer feedforward network(SLFN),extreme learning machine(ELM)is rapidly becoming popular due to its ***,ELM tends to overfitting,which makes the model sensitive to noise and *** solve this problem,L_(2,1)-norm is introduced to ELM and an L_(2,1)-norm robust regularized ELM(L_(2,1)-RRELM)was proposed.L_(2,1)-RRELM gives constant penalties to outliers to reduce their adverse effects by replacing least square loss function with a non-convex loss *** light of the non-convex feature of L_(2,1)-RRELM,the concave-convex procedure(CCCP)is applied to solve its *** convergence of L_(2,1)-RRELM is also given to show its *** order to further verify the effectiveness of L_(2,1)-RRELM,it is compared with the three popular extreme learning algorithms based on the artificial dataset and University of California Irvine(UCI)*** each algorithm in different noise environments is tested with two evaluation criterions root mean square error(RMSE)and *** results of the simulation indicate that L_(2,1)-RRELM has smaller RMSE and greater fitness under different noise *** analysis shows that L_(2,1)-RRELM has better generalization performance,stronger robustness,and higher anti-noise ability and fitness.

关键词： extreme learning machine(ELM) non-convex loss L_(2,1)-norm concave-convex procedure(CCCP)

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Ruthenium Nanoparticles Loaded on Carbon as Effective Catalyst for Highly Selective Hydrogenation of 4,4′-Methylenedianiline

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Chemical Research in Chinese Universities 2012年第5期28卷 882-885页

作者： DU Wen-qiang RONG Ze-ming LU Xin-yi WANG Yi-fan LU lian-hai QU jing-ping State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyDalian 116024P.R.China

Supported Ru-based catalysts, prepared by a surfactant-stabilized colloidal method, exhibited a good selectivity to bis（4-aminocyclohexyl）methane via the hydrogenation of 4,4′-methylenedianiline. Transmission electron microscopy（TEM） and X-ray diffraction（XRD） characterization showed Ru nanoparticles were well-dispersed on activated carbon, leading to the high activity and selectivity to the product.

关键词： Ruthenium-based catalyst 4 4′-Methylenedianiline Hydrogenation Selectivity

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang fan jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

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Changes in runoff and eco-flow in the Dongjiang River of the Pearl River Basin, China

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Frontiers of Earth Science 2014年第4期8卷 547-557页

作者： Kairong LIN Yanqing lian Xiaohong CHEN fan LU Department of Water Resources and Environment Sun Yat-sen University Guangzhou 510275 China Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute Sun Yat-sen University Guangzhou 510275 China Illinois State Water Survey The Prairie Research Institute University of Illinois at Urbana-Champaign IL 61820 USA China Institute of Water Resources and Hydropower Research Department of Water Resources Beijing 100038 China

The Dongjiang River, one of the tributaries of the Pearl River, serves as the critical water source for Guangdong Province and the District of Hong Kong in China. In this study, the change trend and change points of flow at three main gaging stations in the Dongjiang River were analyzed using the nonparametric Mann-Kendall test and Pettitt-Mann-Whitney change-point statistics. Flow regime changes in the Dongjiang River were quantified by using both the Indicators of Hydrologic Alteration （IHA） parameters and eco-statistics, such as ecosurplus and eeodeficit. It was found that the change trend for annual median flow in the Dongjiang River increased over the past 60years, with the major change occurring sometime between 1970 and 1974. IHA analyses showed that the magnitude of monthly flow decreased during the flood period, but increased greatly during the dry period. The median date of the one-day minimum flow moved ahead, and the duration of low pulse for the Dongjiang River was reduced significantly because of reservoir construction and operations. The IHA-based Dundee Hydrological Regime Alteration Method analysis indicated that all three stations have experienced a moderate risk of impact since 1974. The eco-statistical analyses showed that the majority of the flows appeared to be ecosurplus at all three locations after 1974, while flows with less than 30%, or higher exceedance probability, had ecodeficit in the summer flood period due to heavy reservoir operations.

关键词： hydrologic alteration change point analysis,runoff eco-flow

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Preparation of Hydrophilic UHMWPE Hollow Fiber Membranes by Chemically Bounding Silica Nanoparticles

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Chinese Journal of Polymer Science 2021年第2期39卷 189-200,I0006页

作者： lian-lian fan Jia-You Quan Hao Zhang Jun-Rong Yu Zu-Ming Hu Yan Wang Shanghai Collaborative Innovation Center for High Performance Fiber Composites College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Sinochem International Corporation Shanghai 200126China

In this work, ultra-high molecular weight polyethylene (UHMWPE) microfiltration hollow fiber membranes prepared via the thermally induced phase separation (TIPS) method were modified by chemically bounding hydrophilic silica (SiO2) nanoparticles onto the surface to improve anti-fouling performance. A range of testing techniques including attenuated total reflection Flourier transformed infrared spectroscopy(ATR-FTIR), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FE-SEM), water contact angle, mechanical test,filtration and anti-fouling performance were carried out to discuss the influence of different modification conditions on the properties of the membranes. The prepared hollow fiber membranes display the significantly excellent performance when the vinyl trimethoxy silane (VTMS) concentration was 13%, the pH value of the hydrolyzate was 4 and the hydrolysis reaction time was 6 h. In particular, the hydrophilicity of modified membranes was improved effectively, resulting in the enhancement of membrane anti-fouling properties. The results of this work can be consulted for improving the anti-fouling performance of the UHMWPE microfiltration hollow fiber membrane applied in the field of water purification.

关键词： Hollow fiber membrane Hydrophilic Anti-fouling Silica(SiO2)nanoparticles Water purification

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A two-step zircon decomposition method to produce zirconium oxychloride:alkali fusion and water leaching

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Rare Metals 2020年第4期39卷 448-454页

作者： jing Song jing-Fei fan jing-Chong Liu Ran Liu jing-Kui Qu Tao Qi National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology Institute of Process EngineeringChinese Academy SciencesBeijing 100190China School of Chemistry and Chemical Engineering Shandong UniversityJinan 250100China

In this work,a two-step zircon method to produce zirconium oxychloride was introduced,and the alkali fusion technique with NaOH and water leaching process were *** effects of the operating conditions on the decomposition of zircon were determined,and the optimal conditions are as follows:alkali/zircon mass ratio of 0.7 at the first step and 0.6 at the second step(0.7+0.6),fusion temperature of 700℃and fusion time of 0.5 h at the first step and 0.5 h at the second step(0.5+0.5 h).Under these conditions,the decomposition alloy of zircon sand can reach 97.25%.In the fusion process of zircon sand,the products of first step are mainly Na2ZrO3 and ZrSiO4,the products of second step are Na2ZrO3 and Na2SiO3,and the diffraction peaks of Na2ZrSiO5 are not *** conditions of water leaching process were investigated as well,and the optimal conditions are as follows:liquid-solid ratio of 5:1,leaching time of 0.5 h,leaching temperature of 50℃and leaching three *** these conditions,the contents of leaching products SiO2 and Na2O are 3.51%(40%ZrO2)and 4.46%(40%ZrO2),*** crystal phase structures of Na2ZrO3 and Na2SiO3 are formed in water leaching process.

关键词： Zirconium oxychloride Zircon Two-step alkali fusion Water leaching

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Real-time information recombination of complex 3D tree model based on visual perception

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Science China(Information Sciences) 2013年第9期56卷 96-109页

作者： fan jing fan YunYi DONG TianYang JI Lei School of Computer Science and Technology Zhejiang University of Technology

It is important for the rapid visualization of large scale forest scene to dynamically simplify and recombine model data. In order to preserve the geometric features and visual perception of tree model, this paper presents a real-time information recombination method of complex 3D tree model based on visual perception. This method adopts visual attention model and the visual characteristic of tree structures, and then uses geometry-based and image-based methods to simplify tree models and construct a hybrid representation model. The hybrid representation model reflects the visual perception features of 3D tree models that can embody topological semantics in dynamic simulation. In addition, this method automatically extracts the representation information of 3D tree model based on visual perception, and recombines model information in real time according to the dynamic viewpoint of virtual scene. Finally, this method is applied in the simplification of different tree models, and it is compared with the existing tree model simplification methods. Experimental results show that this method can not only preserve better visual perception for 3D tree models, but also effectively decrease the geometric data of forest scene, and improve the rendering efficiency of forest scene.

关键词： visual perception model simplification 3D tree real-time recombination hybrid representation

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Structure complexity is the primary driver of functional diversity in the temperate forests of northeastern China

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Forest Ecosystems 2022年第4期9卷 511-520页

作者： Zhenghua lian Juan Wang Chunyu fan Klaus von Gadow Research Center of Forest Management Engineering of State Forestry and Grassland Administration Beijing Forestry UniversityBeijing100083China Department of Forest Ecology School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing100083China Faculty of Forestry and Forest Ecology Georg-August-University G€ottingenBüsgenweg 5D-37077GottingenGermany Department of Forest and Wood Science University of StellenboschStellenbosch7600South Africa

Background:Assessing functional diversity to identify its spatial patterns and drivers is an important step towards understanding the adaptive capacity of ecosystems to environmental change. However, until now, these mechanisms were poorly understood in the temperate forests of northeastern China, which prevented the development of new management methods aimed at increasing functional trait diversity and thus ecological ***:In this study, we mapped functional diversity distributions using a Kriging Interpolation Method. A specific random forest model approach was adopted to test the importance ranking of 18 variables in explaining the spatial variation of functional diversity. Three piecewise structural equation models (pSEMs) with forest types as random effects were constructed for testing the direct effects of climate, and the indirect effects of stand structure on functional diversity across the large study region. Specific causal relationships in each forest type were also examined using 15 linear structural equation ***:Although environmental filtering by climate is important, stand structure explains most of the functional variation of the forest ecosystems in northeastern China. Our study thus only partially supports the stressdominance hypothesis. Several abundant species determine most of the functional diversity, which supports the mass ratio ***:Our results suggest that forest management aimed at increasing structural complexity can contribute to increased functional diversity, especially regarding the mixing of coniferous and broad-leaved tree species.

关键词： Functional diversity distribution Forest types Forest management Random forest Stand structure attributes Structural equation modeling

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Multifunctional aggregates for precise cellular analysis

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Science China Chemistry 2021年第11期64卷 1938-1945页

作者： jing-jing Hu Xiaoqi Dong Wenlian Jiang fan Xia Xiaoding Lou State Key Laboratory of Biogeology and Environmental Geology Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan430074China

Precisely analyzing the target materials in living cells can reveal the essence and mystery of life at a deeper level,which will provide reliable theoretical basis for the occurrence,development,treatment and prognosis of major ***,because living cells are in the dynamic process of metabolism,there are several challenges existed in accurate analysis,including subcellular compartment heterogeneity,plasma membrane interface barrier,and cell cycle *** this regard,our group has designed and synthesized a series of multifunctional aggregates by mainly integrating the peptide elements,nucleic acid elements and aggregation elements to overcome the *** article summarizes the latest developments of multifunctional aggregates for precise cell analysis by our group,and systematically introduces them according to different design concepts and targeting dimensions,such as space,efficiency as well as *** hope this work could contribute to analyzing the biomarkers in cells through constructing the multifunctional aggregates,understanding the operation mechanism of cells,finally inspiring technology breakthroughs in biomedical fields.

关键词： precise cellular analysis aggregation induced emission peptide nucleic acid aggregate

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