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Realizing high-performance Na_(3)V_(2)(PO_(4))_(2)O_(2)F cathode for sodium-ion batteries via Nb-doping
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作者 Jie Wang Yifeng Yuan +6 位作者 Xianhui Rao Min’an Yang Doudou Wang Ailing Zhang Yan Chen zhaolin li Hailei Zhao 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2023年第10期1859-1867,共9页
Na_(3)V_(2)(PO_(4))_(2)O_(2)F(NVPOF)has received considerable interest as a promising cathode material for sodium-ion batteries because of its high working voltage and good structural/thermal stability.However,the slu... Na_(3)V_(2)(PO_(4))_(2)O_(2)F(NVPOF)has received considerable interest as a promising cathode material for sodium-ion batteries because of its high working voltage and good structural/thermal stability.However,the sluggish electrode reaction resulting from its low intrinsic electronic conductivity significantly restricts its electrochemical performance and thus its practical application.Herein,Nb-doped Na_(3)V_(2-x)Nb_(x)(PO_(4))_(2)O_(2)F/graphene(rGO)composites(x=0,0.05,0.1)were prepared using a solvothermal method followed by calcination.Compared to the un-doped NVPOF/r GO,doping V-site with high-valence Nb element(Nb^(5+))(Na_(3)V_(1.95)Nb_(0.05)(PO_(4))_(2)O_(2)F/r GO(NVN05POF/rGO))can result in the generated V4^(+)/V3^(+)mixed-valence,ensuring the lower bandgap and thus the increased intrinsic electronic conductivity.Besides,the expanded lattice space favors the Na^(+)migration.With the structure feature where NVN05POF particles are attached to the rGO sheets,the electrode reaction kinetics is further accelerated owing to the well-constructed electron conductive network.As a consequence,the as-prepared NVN05POF/r GO sample exhibits a high specific capacity of~72 m Ah·g^(-1)at 10C(capacity retention of 65.2%(vs.0.5C))and excellent long-term cycling stability with the capacity fading rate of~0.099%per cycle in 500 cycles at 5C. 展开更多
关键词 sodium vanadium fluorophosphate CATHODE DOPING rate capability sodium-ion batteries
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Sandwich-like structure C/SiO_(x)@graphene anode material with high electrochemical performance for lithium ion batteries 被引量:1
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作者 zhaolin li Yaozong Yang +2 位作者 Jie Wang Zhao Yang Hailei Zhao 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2022年第11期1947-1953,共7页
Silicon suboxide(SiO_(x),0<x<2)is recognized as one of the next-generation anode materials for high-energy-density lithium ion batteries(LIBs)due to its high theoretical specific capacity and abundant resource.H... Silicon suboxide(SiO_(x),0<x<2)is recognized as one of the next-generation anode materials for high-energy-density lithium ion batteries(LIBs)due to its high theoretical specific capacity and abundant resource.However,the severe mechanical instability arising from large volume variation upon charge/discharge cycles frustrates its electrochemical performance.Here we propose a well-designed sandwich-like structure with sandwiched SiO_(x) nanoparticles between graphene sheets and amorphous carbon-coating layer so as to improve the structural stability of SiO_(x) anode materials during cycling.Graphene sheets and carbon layer together construct a three-dimensional conductive network around SiO_(x) particles,which not only improves the electrode reactions kinetics,but also homogenizes local current density and thus volume variation on SiO_(x) surface.Moreover,Si-O-C bonds between SiO_(x) and graphene endow the strong particle adhesion on graphene sheets,which prevents SiO_(x) peeling from graphene sheets.Owing to the synergetic effects of the structural advantages,the C/SiO_(x)@graphene material exhib-its an excellent cyclic performance such as 890 mAh/g at 0.1 C rate and 73.7%capacity retention after 100 cycles.In addition,it also delivers superior rate capability with a capacity recovery of 886 mAh/g(93.7%recovery rate)after 35 cycles of ascending steps at current range of 0.1-5 C and finally back to 0.1 C.This study provides a novel strategy to improve the structural stability of high-capacity anode materials for lithium/sodium ion batteries. 展开更多
关键词 sandwich-like structure silicon suboxide electrochemical performance anode lithium-ion battery
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Automated retinal layer segmentation on optical coherence tomography image by combination of structure interpolation and lateral mean filtering
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作者 Yushu Ma Yingzhe Gao +6 位作者 zhaolin li Ang li Yi Wang Jian liu Yao Yu Wenbo Shi Zhenhe Ma 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2021年第1期112-122,共11页
Segmentation of layers in retinal images obtained by optical coherence tomography(OCT)has become an important clinical tool to diagnose ophthalmic diseases.However,due to the sus-ceptibility to speckle noise and shado... Segmentation of layers in retinal images obtained by optical coherence tomography(OCT)has become an important clinical tool to diagnose ophthalmic diseases.However,due to the sus-ceptibility to speckle noise and shadow of blood vessels etc.,the layer segmentation technology based on a single image still fail to reach a satisfactory level.We propose a combination method of structure interpolation and lateral mean filtering(SI-LMF)to improve the signal-to-noise ratio based on one retinal image.Before performing one-dimensional lateral mean filtering to remove noise,structure interpolation was operated to eliminate thickness fluctuations.Then,we used boundary growth method to identify boundaries.Compared with existing segmentations,the method proposed in this paper requires less data and avoids the influence of microsaccade.The automatic segmentation method was verified on the spectral domain OCT volume images obtained from four normal objects,which successfully identified the boundaries of 10 physio-logical layers,consistent with the results based on the manual determination. 展开更多
关键词 Optical coherence tomography retinal layers automatic segmentation mean filtering
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Rational structure design to realize high-performance SiOx@C anode material for lithium ion batteries 被引量:3
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作者 zhaolin li Hailei Zhao +4 位作者 Jie Wang Tianhou Zhang Boyang Fu Zijia Zhang Xin Tao 《Nano Research》 SCIE EI CAS CSCD 2020年第2期527-532,共6页
Silicon suboxide(SiOx)is considered to be one of the most promising materials for next-generation anode due to its high energy density.For its preparation,the wet-chemistry method is a cost-effective and readily scala... Silicon suboxide(SiOx)is considered to be one of the most promising materials for next-generation anode due to its high energy density.For its preparation,the wet-chemistry method is a cost-effective and readily scalable route,while the so-derived SiOx usually shows lower capacity compared with that prepared by high temperature-vacuum evaporation route.Herein,we present an elaborate particle structure design to realize the wet-chemistry preparation of a high-performance SiOx/C nanocomposite.Dandelion-like highly porous SiOx particle coated with conformal carbon layer is designed and prepared.The highly-porous SiOx skeleton provides plenty specific surface for intimate contact with carbon layer to allow a deep reduction of SiOx to a low O/Si ratio at relatively low temperature(700℃),enabling a high specific capacity.The abundant mesoscale voids effectively accommodate the volume variation of SiOx skeleton,ensuring the high structural stability of SiOx@C during lithiation/delithiation process.Meanwhile,the three-dimensional(3D)conformal carbon layer provides a fast electron/ion transportation,allowing an enhanced electrodereaction kinetics.Owing to the optimized O/Si ratio and well-engineered structure,the prepared SiOx@C electrode delivers an ultra-high capacity(1,115.8 mAh·g^-1 at 0.1 A·g^-1 after 200 cycles)and ultra-long lifespan(635 mAh·g^-1 at 2 A·g^-l after 1,000 cycles).To the best of our knowledge,the achieved combination of ultra-high specific capacity and ultra-long cycling life is unprecedented. 展开更多
关键词 mesoporous structure silicon suboxide electrochemical properties ANODE lithium ion batteries
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酰胺功能化共价三嗪骨架增强光催化析氢
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作者 李昭霖 李天春 +5 位作者 缪佳明 赵呈孝 荆宇 韩峰燕 张侃 杨小飞 《Science China Materials》 SCIE EI CAS CSCD 2023年第6期2290-2298,共9页
具有富氮共轭骨架的共价三嗪骨架(CTFs)是一类典型的共价有机骨架(COFs)多孔材料,因其优异的化学和物理稳定性、结构可调性和低骨架密度等特性,在光催化氧化还原反应研究方面逐渐受到重视.与众多COFs材料一样,CTFs的光催化活性与材料的... 具有富氮共轭骨架的共价三嗪骨架(CTFs)是一类典型的共价有机骨架(COFs)多孔材料,因其优异的化学和物理稳定性、结构可调性和低骨架密度等特性,在光催化氧化还原反应研究方面逐渐受到重视.与众多COFs材料一样,CTFs的光催化活性与材料的结晶性和官能团修饰密切相关.然而,CTFs的合成途径较为单一,主要通过强有机酸催化氰基不可逆热聚合,以致CTFs较难通过结晶和官能团修饰协同提升催化活性.在本工作中,我们发现CF_(3)SO_(3)H催化热聚合制备的CTF-1具有很高的结晶度且晶粒表面含有大量未反应的氰基.将CTF-1浸没在盐酸溶液中,通过超声辅助促使表面氰基水解成酰胺基团,获得了酰胺功能化的高结晶性CTFs(CTF-amide).研究表明,随着盐酸处理时间的增加,更多的氰基转化为酰胺基团,相应材料的光催化活性增强越明显.其中CTF-amide-16的光催化分解水析氢速率为1133μmol g^(-1)h^(-1),远高于原始的CTF-1(520μmol g^(-1)h^(-1)).电化学和瞬态吸收结果表明,酰胺基团功能化有利于CTF中光生载流子的分离和迁移. 展开更多
关键词 氧化还原反应 光生载流子 瞬态吸收 三嗪 酰胺基团 热聚合 物理稳定性 盐酸处理
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Effects and mechanism of freeze-thawing cycles on the soil N2O fluxes in the temperate semi-arid steppe 被引量:4
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作者 liqin Wang Yuchun Qi +4 位作者 Yunshe Dong qin Peng Shufang Guo Yunlong He zhaolin li 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2017年第6期192-201,共10页
High nitrous oxide(N2O) emissions during freeze-thawing period(FTP) have been observed in many different ecosystems. However, the knowledge about the dynamic of soil N_2O emissions and its main driving mechanism durin... High nitrous oxide(N2O) emissions during freeze-thawing period(FTP) have been observed in many different ecosystems. However, the knowledge about the dynamic of soil N_2O emissions and its main driving mechanism during the freeze-thawing processes in grassland ecosystem is still limited. An in-situ experiment was conducted during the FTP on the sites with 0 and 15% surplus of the average rainfall and two levels of N addition(0,10 g N/(m^2·year)) during growing season(marked as W0N0, W15N0, W0N10, W15N10, respectively) to explore the effects of water and N background on soil N_2O emissions during FTPs and the relationship between soil N_2O emissions and environmental factors. The results indicated that water and N treatments conducted during growing season did not show significant effect on the N_2O effluxes of FTP, but the soil mineral N contents of W0N10 treatment were significantly higher than those of W0N0, W15N0, W15N10treatments(p < 0.05). The soil PLFA concentrations of microbial groups monitored during 2015 spring freeze-thawing period(2015S-FTP) were lower than those during winter freeze-thawing period of 2014(2014W-FTP), while cumulative soil N_2O emissions of 2015S-FTP were higher than those of 2014W-FTP. The correlations between soil N_2O effluxes and most of the measured environmental factors were insignificant, multiple stepwise regression analysis indicated that the soil temperature, soil NH_4^+-N content and air temperature were the major environmental factors which significantly influenced the N_2O effluxes during 2014W-FTP, and air temperature and soil water content were the significant influencing factors during 2015S-FTP. 展开更多
关键词 N2O排放量 草原土壤 驱动机制 冻融循环 半干旱 多元逐步回归分析 草地生态系统 N2O通量
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Analysis of chemical composition of melt inclusion of beryl in pegmatite and discovery of zinc-spinel by electronic probe 被引量:2
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作者 zhaolin li Wenlan Zhang +2 位作者 Rongyong Yang Wen li Wei Zhai 《Chinese Science Bulletin》 SCIE EI CAS 1999年第21期2004-2010,共7页
The compositions of daughter mineral of melt inclusion in beryls, which are from pegmatites of Keketuhai in Xinjiang and Mufushan in Hunan, have been analyzed by electronic probe. Ten kinds of mineral, such as beryl, ... The compositions of daughter mineral of melt inclusion in beryls, which are from pegmatites of Keketuhai in Xinjiang and Mufushan in Hunan, have been analyzed by electronic probe. Ten kinds of mineral, such as beryl, zinc-spinel, mica, quartz, magnetite, etc., which consist of different mineral associations have been identified. The zinc-spinel existing in two dif- 展开更多
关键词 ELECTRONIC PROBE PEGMATITE melt inclusion zinc-spinel local magmatic differentiation.
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Hardware Implementation of Spiking Neural Networks on FPGA
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作者 Jianhui Han zhaolin li +1 位作者 Weimin Zheng Youhui Zhang 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2020年第4期479-486,共8页
Inspired by real biological neural models,Spiking Neural Networks(SNNs)process information with discrete spikes and show great potential for building low-power neural network systems.This paper proposes a hardware imp... Inspired by real biological neural models,Spiking Neural Networks(SNNs)process information with discrete spikes and show great potential for building low-power neural network systems.This paper proposes a hardware implementation of SNN based on Field-Programmable Gate Arrays(FPGA).It features a hybrid updating algorithm,which combines the advantages of existing algorithms to simplify hardware design and improve performance.The proposed design supports up to 16384 neurons and 16.8 million synapses but requires minimal hardware resources and archieves a very low power consumption of 0.477 W.A test platform is built based on the proposed design using a Xilinx FPGA evaluation board,upon which we deploy a classification task on the MNIST dataset.The evaluation results show an accuracy of 97.06%and a frame rate of 161 frames per second. 展开更多
关键词 SPIKING NEURAL Network(SNN) Field-Programmable GATE Arrays(FPGA) digital circuit LOW-POWER MNIST
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