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您的检索式：作者名="Xuexue Cui"
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| 1 | Graphitizing N-doped mesoporous carbon nanospheres via facile single atom iron growth for highly efficient oxygen reduction reaction显示文摘Single atom catalyst is of great importance for the oxygen reduction reaction(ORR).However,facile preparation of single atom catalyst without using well-designed precursors or labor-intensive acid leaching remains an urgent challenge.Herein,a simple pyrolysis of Fe3+-loaded mesoporous phenolic resin(mPF)-melamine precursor is used to prepare the single atom iron-anchored N-doped mesoporous graphitic carbon nanospheres(Fe/N-MGN).Investigation of the synthesis reveals the appropriate Fe-assisted catalysis effect and mPF template effect,which not only spurs the highly graphitic porous framework of Fe/N-MGN with plentiful pyridinic N/graphitic N,but also assures the dispersed single atom Fe anchoring without elaborated procedures.As a result,the as-synthesized Fe/N-MGN demonstrates high catalytic activity,good durability and excellent methanol tolerance for ORR.This work promises a facile method to regulate the graphitic carbon growth and single atom Fe loading for the highly efficient electrocatalysis. | Yunshi Xu Liping Zhu Xuexue Cui Mingyu Zhao Yaling Li Leilei Chen Weicun Jiang Ting Jiang Shuguang Yang Yi Wang | 2020 | Nano Research2020，13，3： | 5 |
| 2 | Facile growth of ultra-small Pd nanoparticles on zeolite-templated mesocellular graphene foam for enhanced alcohol electrooxidation显示文摘Labor-saving preparation of highly active electrocatalysts for alcohols oxidation, especially for the ethylene glycol and glycerol electrooxidation is of great importance for the development of fuel cells. Herein, mesocellular graphene foam (MGF) constructed by ultrathin nanosheets were prepared using lamellar MCM-22 zeolite as template and then ultra-small Pd NPs were facile grew on it via the stabilizer-free synthesis. Detailed characterizations showed that the obtained Pd/MGF had large surface area, hierarchical porous architecture, semi-graphitic framework and dispersed Pd NPs an chori ng. Electrochemical measurements dem on strated that Pd/MGF possessed the higher catalytic activity (1.7-2.9 fold higher) and stability for the different alcohols electrooxidation, especially for the ethylene glycol and glycerol electrooxidation in the alkaline solution, than the commercial Pd/C (10 wt.%) catalyst. Reaction kinetics analysis revealed the expanded diffusion-controlled process of Pd/MGF as compared to Pd/C. These findings promised a potential electrocatalyst for direct alcohol fuel cells (DAFC), especially for the direct ethylene glycol or glycerol fuel cells with high energy density. | Xuexue Cui Yaling Li Mingyu Zhao Yunshi Xu Leilei Chen Shuguang Yang Yi Wang | 2019 | Nano Research2019，12，2： | 1 |
| 3 | Application of improved virtual sample and sparse representation in face recognition显示文摘Sparse representation plays an important role in the research of face recognition.As a deformable sample classification task,face recognition is often used to test the performance of classification algorithms.In face recognition,differences in expression,angle,posture,and lighting conditions have become key factors that affect recognition accuracy.Essentially,there may be significant differences between different image samples of the same face,which makes image classification very difficult.Therefore,how to build a robust virtual image representation becomes a vital issue.To solve the above problems,this paper proposes a novel image classification algorithm.First,to better retain the global features and contour information of the original sample,the algorithm uses an improved non‐linear image representation method to highlight the low‐intensity and high‐intensity pixels of the original training sample,thus generating a virtual sample.Second,by the principle of sparse representation,the linear expression coefficients of the original sample and the virtual sample can be calculated,respectively.After obtaining these two types of coefficients,calculate the distances between the original sample and the test sample and the distance between the virtual sample and the test sample.These two distances are converted into distance scores.Finally,a simple and effective weight fusion scheme is adopted to fuse the classification scores of the original image and the virtual image.The fused score will determine the final classification result.The experimental results show that the proposed method outperforms other typical sparse representation classification methods. | Yongjun Zhang Zewei Wang Xuexue Zhang Zhongwei Cui Bob Zhang Jinrong Cui Lamin LJanneh | 2023 | CAAI Transactions on Intelligence Technology2023，8，4： | 0 |
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