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Defining the composition and electronic structure of large-scale and single-crystalline like Cs 2 AgBiBr 6 films fabricated by capillary-assisted dip-coating method Journal article
Materials Today Energy, 2019,Volume: 12,Page: 186-197
Authors:  Xiu J.;  Shao Y.;  Chen L.;  Feng Y.;  Dai J.;  Zhang X.;  Lin Y.;  Zhu Y.;  Wu Z.;  Zheng Y.;  Pan H.;  Liu C.;  Shi X.;  Cheng X.;  He Z.
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Single-crystalline Perovskite Films  
Vanadium self-intercalated C/V 1.11 S 2 nanosheets with abundant active sites for enhanced electro-catalytic hydrogen evolution Journal article
Electrochimica Acta, 2019,Volume: 300,Page: 208-216
Authors:  Yang M.;  Cao L.;  Wang Z.;  Qu Y.;  Shang C.;  Guo H.;  Xiong W.;  Zhang J.;  Shi R.;  Zou J.;  Cheng C.;  Pan H.;  Lu Z.
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C/v 1.11 s 2 Nanosheets  Electrocatalysts  Gibbs Free Energy For Hydrogen Adsorption  Hydrogen Evolution Reaction  Self-intercalated  
Polyoxometalate-Derived Hexagonal Molybdenum Nitrides (MXenes) Supported by Boron, Nitrogen Codoped Carbon Nanotubes for Efficient Electrochemical Hydrogen Evolution from Seawater Journal article
Advanced Functional Materials, 2019,Volume: 29,Issue: 8
Authors:  Miao J.;  Lang Z.;  Zhang X.;  Kong W.;  Peng O.;  Yang Y.;  Wang S.;  Cheng J.;  He T.;  Amini A.;  Wu Q.;  Zheng Z.;  Tang Z.;  Cheng C.
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density functional theory calculations  doped carbon nanotubes  hydrogen evolution reaction  MXenes  polyoxometalate  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.;  Tang Y.Y.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
Unconventional Antiferromagnetic Quantum Critical Point in Ba (Fe0.97Cr0.03)2 (As1-x Px)2 Journal article
Physical Review Letters, 2019,Volume: 122,Issue: 3
Authors:  Zhang W.;  Wei Y.;  Xie T.;  Liu Z.;  Gong D.;  Ma X.;  Hu D.;  Cermak P.;  Schneidewind A.;  Tucker G.;  Meng S.;  Huesges Z.;  Lu Z.;  Song J.;  Luo W.;  Xu L.;  Zhu Z.;  Yin X.;  Li H.-F.;  Yang Y.-F.;  Luo H.;  Li S.
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High-Performance Sodium-Ion Batteries Based on Nitrogen-Doped Mesoporous Carbon Spheres with Ultrathin Nanosheets Journal article
ACS Applied Materials and Interfaces, 2019,Volume: 11,Issue: 3,Page: 2970-2977
Authors:  Zhong X.;  Li Y.;  Zhang L.;  Tang J.;  Li X.;  Liu C.;  Shao M.;  Lu Z.;  Pan H.;  Xu B.
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Carbon Sphere  Hard Carbon  Nanosheets  Nitrogen-doping  Sodium-ion Battery  
A general moving detection method using dual-target nonparametric background model Journal article
Knowledge-Based Systems, 2019,Volume: 164,Page: 85-95
Authors:  Zhong Z.;  Wen J.;  Zhang B.;  Xu Y.
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Background modeling  Moving detection  Video surveillance  
Postnatal deletion of Alk5 gene in meniscal cartilage accelerates age-dependent meniscal degeneration in mice Journal article
Journal of Cellular Physiology, 2019,Volume: 234,Issue: 1,Page: 595-605
Authors:  Wang Q.;  Tan Q.;  Xu W.;  Kuang L.;  Zhang B.;  Wang Z.;  Ni Z.;  Su N.;  Jin M.;  Li C.;  Jiang W.;  Huang J.;  Li F.;  Zhu Y.;  Chen H.;  Du X.;  Chen D.;  Deng C.;  Qi H.;  Xie Y.;  Chen L.
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Activing Receptor-like Kinases 5 (Alk5)  Matrix Degradation  Meniscal Degeneration  Transforming Growth Factor-β (Tgf-β) Signaling  
Fuzzy adaptive compensation control of uncertain stochastic nonlinear systems with actuator failures and input hysteresis Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 1,Page: 2-13
Authors:  Wang J.;  Liu Z.;  Chen C.L.P.;  Zhang Y.
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Actuator failure/fault  adaptive control  hysteresis  stochastic nonlinear systems  transient performance  
Hierarchical Ultrafine Ni 3 V 2 O 8 Nanoparticles Anchored on rGO as High-Performance Anode Materials for Lithium-Ion Batteries Journal article
Energy Technology, 2019
Authors:  Yang M.;  Fu X.;  Zhang J.;  Wang Z.;  Wang B.;  He L.;  Wu Z.;  Cheng H.;  Pan H.;  Lu Z.
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hierarchical architecture  Li-ion batteries  Ni 3 V 2 O 8 nanoparticles  reduced graphene oxide