4篇
您的检索式：作者名="Xiangyun Wan"
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| 1 | In vitro comparison of the hemocompatibility of diamond-like carbon and carbon nitride coatings with different atomic percentages of N显示文摘Carbon nitride (CNx) and diamond-like carbon (DLC) coatings were prepared by dc magnetron sputtering at room temperature. Different partial pressures of N2 were used to synthesize CNx to evaluate the relationship between the atomic percentage of nitrogen and hemocompatibility. Auger electron spectroscopy and atomic force microscopy indicated atomic percentages of N of 0.12 and 0.22 and that the CNx coatings were smooth. An in vitro study of the hemocompatibility of the coatings revealed that both CNx coatings had better anticoagulant properties and lower platelet adhesion than DLC. Compared with CN0.12, the CN0.22 coating showed longer dynamic clotting time (about 42 min), static clotting time (23.6 min) and recalcification time (45.6 s), as well as lower platelet adhesion (102 cells μm 2), aggregation, and activation. The presence of nitrogen in the CNx coatings induced their enhanced hemocompatibility compared with DLC. | ZHAO MengLi LI DeJun ZHANG YiTeng GUO MeiXian DENG XiangYun GU HanQing WAN RongXin | 2012 | Science China(Life Sciences)2012，55，4： | 3 |
| 2 | Fast 3D joint inversion of gravity and magnetic data based on cross gradient constraint显示文摘The gravity and magnetic data can be adopted to interpret the internal structure of the Earth.To improve the calculation efficiency during the inversion process and the accuracy and reliability of the reconstructed physical property models,the triple strategy is adopted in this paper to develop a fast cross-gradient joint inversion for gravity and magnetic data.The cross-gradient constraint contains solving the gradients of the physical property models and performing the cross-product calculation of their gradients.The sparse matrices are first obtained by calculating the gradients of the physical property models derived from the first-order finite difference.Then,the triple method is applied to optimize the storages and the calculations related to the gradients of the physical property models.Therefore,the storage compression amount of the calculations related to the gradients of the physical property models and the cross-gradient constraint are reduced to one-fold of the number of grid cells at least,and the compression ratio increases with the increase of the number of grid cells.The test results from the synthetic data and field data prove that the structural coupling is achieved by using the fast cross-gradient joint inversion method to effectively reduce the multiplicity of solutions and improve the computing efficiency. | Sheng Liu Xiangyun Wan Shuanggen Jin Bin Jia Songbai Xuan Quan Lou Binbin Qin Rongfu Peng Dali Sun | 2023 | Geodesy and Geodynamics2023，14，4： | 0 |
| 3 | Generalized assembly of sandwich-like 0D/2D/0D heterostructures with highly exposed surfaces toward superior electrochemical performances显示文摘Heterostructures composed of two-dimensional(2D)nanosheets and zero-dimensional(0D)nanoparticles(NPs)have attracted increasing attention because of the synergy arising from the coupling interactions between the two mixed-dimensional components.Despite recent advances,it remains a challenge to fabricate 2D/0D heterostructures with clean and accessible surfaces,which is highly desirable for the diversity of catalytic,sensing,and energy storage applications.Herein,we report a generalized methodology that enables the facile assembly of sandwich-like 0D/2D/0D heterostructures with facilitated mass-transport channels and exposed surface active sites.A ligand-exchange strategy with HBF4 is employed to strip off the surface-coating ligands of colloidal NPs,rendering them positively charged and dispersible in polar solvents.This allows subsequent electrostatic assembly of NPs with oppositely charged 2D nanosheets to afford sandwich-like 0D/2D/0D heterostructures.The barely covered surfaces and the advantageous architectures of such sandwich-like 0D/2D/0D heterostructures induce the desired synergistic effect,making them particularly suitable for electrochemical energy storage and conversion.We demonstrate this by employing MXene/NiFe_(2)O_(4) and MXene/Fe3O4 heterostructures for high-performance electrocatalytic oxygen evolution and supercapacitors,respectively. | Shuqing Xue Guanhong Wu Mingzhong Li Zihan Liu Yuwei Deng Wenqian Han Xuanyu Lv Siyu Wan Xiangyun Xi Dong Yang Angang Dong | 2022 | Nano Research2022，15，1： | 0 |
| 4 | Joint inversion of gravity and vertical gradient data based on modified structural similarity index for the structural and petrophysical consistency constraint显示文摘Joint inversion is one of the most effective methods for reducing non-uniqueness for geophysical inversion.The current joint inversion methods can be divided into the structural consistency constraint and petrophysical consistency constraint methods,which are mutually independent.Currently,there is a need for joint inversion methods that can comprehensively consider the structural consistency constraints and petrophysical consistency constraints.This paper develops the structural similarity index(SSIM)as a new structural and petrophysical consistency constraint for the joint inversion of gravity and vertical gradient data.The SSIM constraint is in the form of a fraction,which may have analytical singularities.Therefore,converting the fractional form to the subtractive form can solve the problem of analytic singularity and finally form a modified structural consistency index of the joint inversion,which enhances the stability of the SSIM constraint applied to the joint inversion.Compared to the reconstructed results from the cross-gradient inversion,the proposed method presents good performance and stability.The SSIM algorithm is a new joint inversion method for petrophysical and structural constraints.It can promote the consistency of the recovered models from the distribution and the structure of the physical property values.Then,applications to synthetic data illustrate that the algorithm proposed in this paper can well process the synthetic data and acquire good reconstructed results. | Sheng Liu Xiangyun Wan Shuanggen Jin Bin Jia Quan Lou Songbai Xuan Binbin Qin Yiju Tang Dali Sun | 2023 | Geodesy and Geodynamics2023，14，5： | 0 |
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