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Radial Basis Function (RBF) mesh deformation is one of the most robust mesh deformation methods available.
Robust mesh generation is a fundamental component required for developing simulations with high accuracy.
In this paper we propose a robust mesh editing framework which improves traditional Laplacian surface editing.
LibreRouter is a hardware and software project that looks to let those communities build their own modern, robust mesh networks to make the most of their limited connectivity.
As one of the most robust mesh deformation technique available, the radial basis function (RBF) mesh deformation has been accepted widely.
This robust mesh design avoids stiction between neighboring wires due to surface tension during development and breakage of the mesh structures during pyrolysis, and as a result, the nanowires can be spaced with a small gap. Figure 3 Scanning electron microscopy images of various types of suspended carbon nanomeshes.
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A robust Mesh-Mover Algorithm (MMA) approach is designed to adapt meshes of moving boundaries problems.
The hot-spot method is proved to be robust regarding mesh regularity.
Within the narrower pH range of 4.9 to 5.2, these formulations retained their physicochemical stability after 2-year refrigerated storage, were robust to mesh nebulization, and formed respirable aerosols with a volume mean diameter (VMD) of 3.7 μm and a geometric standard deviation (GSD) of 1.7.
In this paper, we establish a robust adaptive mesh-refining algorithm that is rigorously based on a reliable and efficient a posteriori error estimate.
By working in this infinite dimensional setting we provide an analysis which is useful for the understanding of high dimensional filtering, and is robust to mesh-refinement.
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