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The application of apodization to the rugate filters [14] resulted in suppression of side lobes and index matching at the multilayer boundary, i.e., air and silicon substrate resulted in suppression of higher order harmonics.
The numerical approach is based on a multilayer boundary element method (MLBEM), a non-traditional BEM particularly designed for anisotropic composite laminates, coupled with the traditional BEM for the pin filling the hole.
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Availability of neighboring surfaces (extended interfaces, nanograin boundaries, multilayer films, charge condensed units, nano-capacitors, etc). is essential also as implement.
A criterion for this stability is also proposed for multilayers with similar grain boundary energies based on simplified geometrical consideration.
This surrogate model is a recursive multilayer perceptron, independent of the boundary conditions and parametrized by the statistical learning of multidimensional temporal trajectories computed with the reference model.
Design maps are developed for the time to pinch-off via grain boundary grooving in multilayer thin films consisting of two immiscible phases.
The time domain dynamic behavior for the multilayer beam with the variant boundary conditions, dimensions and loading types is also discussed.
The solution of the advection diffusion equation for these conditions is obtained applying the Laplace transform, considering the planetary boundary layer as a multilayer system.
Multilayer perceptron neural network is provided with Boundary representation (B-rep) information to recognise simple and complex features.
Bulk computational thermodynamics are extended to model binary poly/nanocrystalline alloys by incorporating grain boundary energies computed by a multilayer adsorption model.
For a multilayer insulation structure with combined heat transfer boundary condition, the optimal thicknesses of the multiple insulation layers increase with the dimensionless longitudinal coordinate.
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