4,743 research outputs found

    Simulation of the Oxygen Reduction Reaction (ORR) Inside the Cathode Catalyst Layer (CCL) of Proton Exchange Membrane Fuel Cells Using the Kinetic Monte Carlo Method

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    In this paper, a numerical model of the kinetic Monte Carlo (KMC) method has been developed to study the oxygen reduction reaction (ORR) that occurs inside the cathode catalyst layer (CCL). Firstly, a 3-D model of the CCL that consists of Pt and carbon spheres is built using the sphere packing method; secondly, an efficient procedure of the proton-oxygen reaction process is developed and simulated. In the proton-oxygen reaction process, all of the continuous movements of protons and oxygen are considered. The maximum reaction distance is determined to be 8 Å. The input pressures of protons and oxygen are represented by the number of spheres of the species. The value of the current density is calculated based on the amount of reaction during the interval time. Indications are that the results of the present model match reasonably well with the published results. A new way to apply the KMC method in the proton exchange membrane fuel cell (PEMFC) research field is developed in this paper

    How does the development of fintech affect financial efficiency? Evidence from China

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    The rapid development of fintech is transforming the global financial system. However, how does fintech impact financial efficiency? Based on the technology spillover theory, this study analysed the theoretical mechanism of fintech’s impact on financial efficiency and used the text mining method to construct a fintech level index for each province in China. Using interprovincial panel data from 2008 to 2018, the study empirically tested the relationship between fintech development and financial efficiency. The results show that technology spillover theory can adequately explain the impact of financial technology on financial efficiency and that there is a Ushaped nonlinear relationship between fintech development and financial efficiency. Further analysis shows that financial decentralisation moderates the marginal effect of fintech on financial efficiency. The effect of fintech on financial efficiency is more significant in regions with greater financial decentralisation. Therefore, at this stage, the study recommends that we actively embrace fintech, continuously deepen the integration of technology and finance, promote improvement in financial efficiency, and expand the positive role of local governments in technological innovation

    Dimensions of fractals related to languages defined by tagged strings in complete genomes

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    A representation of frequency of strings of length K in complete genomes of many organisms in a square has led to seemingly self-similar patterns when K increases. These patterns are caused by under-represented strings with a certain "tag"-string and they define some fractals when K tends to infinite. The Box and Hausdorff dimensions of the limit set are discussed. Although the method proposed by Mauldin and Williams to calculate Box and Hausdorff dimension is valid in our case, a different and simpler method is proposed in this paper.Comment: 9 pages with two figure

    Hypersonic Vehicles Profile-Following Based on LQR Design Using Time-Varying Weighting Matrices

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    In the process of applying linear quadratic regulator (LQR) to solve aerial vehicle reentry reference trajectory guidance, to obtain better profile-following performance, the parameters of the aerial vehicle system can be used to calculate weighting matrices according to the Bryson principle. However, the traditional method is not applicable to various disturbances in hypersonic vehicles (HSV) which have particular dynamic characteristics. By calculating the weighting matrices constructed based on Bryson principle using time-varying parameters, a novel time-varying LQR design method is proposed to deal with the various disturbances in HSV reentry profile-following. Different from the previous approaches, the current states of the flight system are employed to calculate the parameters in weighting matrices. Simulation results are given to demonstrate that using the proposed approach in this chapter, performance of HSV profile-following can be improved significantly, and stronger robustness against different disturbances can be obtained

    Pressure induced superconductivity bordering a charge-density-wave state in NbTe4 with strong spinorbit coupling

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    Transition-metal chalcogenides host various phases of matter, such as charge-density wave (CDW), superconductors, and topological insulators or semimetals. Superconductivity and its competition with CDW in low-dimensional compounds have attracted much interest and stimulated considerable research. Here we report pressure induced superconductivity in a strong spin-orbit (SO) coupled quasi-one-dimensional (1D) transition-metal chalcogenide NbTe4_4, which is a CDW material under ambient pressure. With increasing pressure, the CDW transition temperature is gradually suppressed, and superconducting transition, which is fingerprinted by a steep resistivity drop, emerges at pressures above 12.4 GPa. Under pressure pp = 69 GPa, zero resistance is detected with a transition temperature TcT_c = 2.2 K and an upper critical field Hc2H_{c2}= 2 T. We also find large magnetoresistance (MR) up to 102\% at low temperatures, which is a distinct feature differentiating NbTe4_4 from other conventional CDW materials.Comment: https://rdcu.be/LX8
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