Publication | Open Access
Meta-atom library generation via an efficient multi-objective shape optimization method
63
Citations
56
References
2020
Year
EngineeringMetasurface Unit CellsGeometry GenerationSubdivision SurfaceComputer-aided DesignComputational ChemistryStructural OptimizationEnergy MinimizationMultiple Metasurface FunctionalitiesSimulated AnnealingShape OptimizationComputational GeometryFreeform ShapesGeometric ModelingMaterials ScienceDesignMeta-atom Library Generation3D PrintingTopology OptimizationNatural SciencesSurface ModelingStructural TopologyMultiscale Modeling
Optimizing the shape of metasurface unit cells can lead to tremendous performance gains in several critically important areas. This paper presents a method of generating and optimizing freeform shapes to improve efficiency and achieve multiple metasurface functionalities (e.g., different polarization responses). The designs are generated using a three-dimensional surface contour method, which can produce an extensive range of nearly arbitrary shapes using only a few variables. Unlike gradient-based topology optimization, the proposed method is compatible with existing global optimization techniques that have been shown to significantly outperform local optimization algorithms, especially in complex and multimodal design spaces.
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