408 research outputs found

    Wettability between molten slag and dolomitic refractory

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    In the current study, the wettability between molten slag and dolomitic refractory materials used in the ladle during steel refining was investigated. The contact angle between molten slag and dolomitic substrate decreased with increasing temperature. The slag with lower basicity spread on the substrate more easily and penetrated deeper into the substrate. The penetration depth of slag into the refractory increased with the extension of holding time. The CaO in the refractory dissolved into slag which was then saturated with CaO. The reaction between slag and substrate resulted in the formation of solid Ca3SiO5, which slowed down the further penetration of slag into the refractory

    Printing surface charge as a new paradigm to program droplet transport

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    Directed, long-range and self-propelled transport of droplets on solid surfaces, especially on water repellent surfaces, is crucial for many applications from water harvesting to bio-analytical devices. One appealing strategy to achieve the preferential transport is to passively control the surface wetting gradients, topological or chemical, to break the asymmetric contact line and overcome the resistance force. Despite extensive progress, the directional droplet transport is limited to small transport velocity and short transport distance due to the fundamental trade-off: rapid transport of droplet demands a large wetting gradient, whereas long-range transport necessitates a relatively small wetting gradient. Here, we report a radically new strategy that resolves the bottleneck through the creation of an unexplored gradient in surface charge density (SCD). By leveraging on a facile droplet printing on superamphiphobic surfaces as well as the fundamental understanding of the mechanisms underpinning the creation of the preferential SCD, we demonstrate the self-propulsion of droplets with a record-high velocity over an ultra-long distance without the need for additional energy input. Such a Leidenfrost-like droplet transport, manifested at ambient condition, is also genetic, which can occur on a variety of substrates such as flexible and vertically placed surfaces. Moreover, distinct from conventional physical and chemical gradients, the new dimension of gradient in SCD can be programmed in a rewritable fashion. We envision that our work enriches and extends our capability in the manipulation of droplet transport and would find numerous potential applications otherwise impossible.Comment: 11 pages, 4 figure

    Scalable Algorithms for Laplacian Pseudo-inverse Computation

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    The pseudo-inverse of a graph Laplacian matrix, denoted as L†L^\dagger, finds extensive application in various graph analysis tasks. Notable examples include the calculation of electrical closeness centrality, determination of Kemeny's constant, and evaluation of resistance distance. However, existing algorithms for computing L†L^\dagger are often computationally expensive when dealing with large graphs. To overcome this challenge, we propose novel solutions for approximating L†L^\dagger by establishing a connection with the inverse of a Laplacian submatrix LvL_v. This submatrix is obtained by removing the vv-th row and column from the original Laplacian matrix LL. The key advantage of this connection is that Lv−1L_v^{-1} exhibits various interesting combinatorial interpretations. We present two innovative interpretations of Lv−1L_v^{-1} based on spanning trees and loop-erased random walks, which allow us to develop efficient sampling algorithms. Building upon these new theoretical insights, we propose two novel algorithms for efficiently approximating both electrical closeness centrality and Kemeny's constant. We extensively evaluate the performance of our algorithms on five real-life datasets. The results demonstrate that our novel approaches significantly outperform the state-of-the-art methods by several orders of magnitude in terms of both running time and estimation errors for these two graph analysis tasks. To further illustrate the effectiveness of electrical closeness centrality and Kemeny's constant, we present two case studies that showcase the practical applications of these metrics
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