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We demonstrate the method's capabilities for solving compressible fluid solid systems (in the low Mach number limit), with phase change (melting/solidification), as motivated by applications in Additive Manufacturing (AM).
In particular, the Voronoi diagram of three-dimensional spheres, also called the additively-weighted Voronoi diagram, has proven its powerful capabilities for solving the spatial reasoning problems for the arrangement of atoms in both molecular biology and material sciences.
MAS can be traditionally characterized by the facts that (a) each agent has incomplete information and/or capabilities for solving a problem, (b) agents are autonomous, so there is no global system control; (c) data are decentralized; and (d) computation is asynchronous [89].
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A numerical predictive capability for solving the singular integral equations and computing the crack-tip stress intensity factors is proposed.
Several numerical test cases validated the method and a burning carbon particles array falling simulation proved the capability for solving moving reacting particle cluster problems.
Furthermore, the method that is developed in this work has a stronger capability for solving more complex mixed-mode partition problems, for example, in the bimaterial case (Suo and Hutchinson, 1990) [1].
The new method retains the advantage of the classical Oseen scheme, but it leads to a rapid rate of convergence and also enhances the capability for solving problems with higher Reynolds numbers.
Founded on the mechanism of natural genetics and Darwinian principles of evolution and natural selection, this novel algorithm showed strong capabilities and advantages for solving a wide range of problems as introduced in [5].
MCDA involves techniques, which have received increased interest for their capabilities of solving spatial decision problems and supporting analysts in addressing complex problems involving conflicting criteria (Kordi and Brandt, 2012).
Such capability is effective for solving the sticky-wall problem, which is known to be a common problem in passive haptic systems.
We also demonstrate the capability of the method for solving and analyzing 3D mesoscale problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com