18,325 research outputs found

    Embedded direct numerical simulation for aeronautical CFD

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    AbstractA method is proposed by which a direct numerical simulation of the compressible Navier-Stokes equations may be embedded within a more general aeronautical CFD code. The method may be applied to any code which solves the Euler equations or the Favre-averaged Navier-Stokes equations. A formal decomposition of the flowfield is used to derive modified equations for use with direct numerical simulation solvers. Some preliminary applications for model flows with transitional separation bubbles are given.</jats:p

    The Relevant Operators for the Hubbard Hamiltonian with a magnetic field term

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    The Hubbard Hamiltonian and its variants/generalizations continue to dominate the theoretical modelling of important problems such as high temperature superconductivity. In this note we identify the set of relevant operators for the Hubbard Hamiltonian with a magnetic field term.Comment: 19 pages, RevTe

    Coverage and Connectivity in Three-Dimensional Networks

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    Most wireless terrestrial networks are designed based on the assumption that the nodes are deployed on a two-dimensional (2D) plane. However, this 2D assumption is not valid in underwater, atmospheric, or space communications. In fact, recent interest in underwater acoustic ad hoc and sensor networks hints at the need to understand how to design networks in 3D. Unfortunately, the design of 3D networks is surprisingly more difficult than the design of 2D networks. For example, proofs of Kelvin's conjecture and Kepler's conjecture required centuries of research to achieve breakthroughs, whereas their 2D counterparts are trivial to solve. In this paper, we consider the coverage and connectivity issues of 3D networks, where the goal is to find a node placement strategy with 100% sensing coverage of a 3D space, while minimizing the number of nodes required for surveillance. Our results indicate that the use of the Voronoi tessellation of 3D space to create truncated octahedral cells results in the best strategy. In this truncated octahedron placement strategy, the transmission range must be at least 1.7889 times the sensing range in order to maintain connectivity among nodes. If the transmission range is between 1.4142 and 1.7889 times the sensing range, then a hexagonal prism placement strategy or a rhombic dodecahedron placement strategy should be used. Although the required number of nodes in the hexagonal prism and the rhombic dodecahedron placement strategies is the same, this number is 43.25% higher than the number of nodes required by the truncated octahedron placement strategy. We verify by simulation that our placement strategies indeed guarantee ubiquitous coverage. We believe that our approach and our results presented in this paper could be used for extending the processes of 2D network design to 3D networks.Comment: To appear in ACM Mobicom 200

    Do all institutional investors care about corporate carbon emissions?

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    This paper investigates whether institutional investors promote the abatement of corporate carbon emissions. Using firm-level data on the U. S from 2007 to 2017, we find that institutional investors help reduce carbon emissions. The result is more pronounced in firms with more independent (investment companies, investment advisors, and pension funds), long-term, and monitoring institutional ownership. Our result holds when we employ a quasi-natural experiment and the difference-in-differences approach to address endogeneity. The channel analysis documents that institutional investors help reduce carbon emissions by reducing energy consumption. We also find that shareholder activism is a proximal monitoring mechanism through which institutional investors influence firms to achieve better carbon performance. Finally, our results show that the advantage for institutional investors from reducing carbon emissions is higher firm value
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