Hybrid genetic optimization for design of photonic crystal emitters |
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| Authors: | R. R. Rammohan B. G. Farfan M. F. Su I. El-Kady |
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| Affiliation: | 1. Department of Computer Science , University of New Mexico , Albuquerque, NM, USA;2. Department of Electrical and Computer Engineering , University of New Mexico , Albuquerque, NM, USA;3. Department of Electrical and Computer Engineering , University of New Mexico , Albuquerque, NM, USA;4. Sandia National Laboratories , Albuquerque, NM, USA |
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| Abstract: | A unique hybrid-optimization technique is proposed, based on genetic algorithms (GA) and gradient descent (GD) methods, for the smart design of photonic crystal (PhC) emitters. The photonic simulation is described and the granularity of photonic crystal dimensions is considered. An innovative sliding-window method for performing local heuristic search is demonstrated. Finally, the application of the proposed method on two case studies for the design of a multi-pixel photonic crystal emitter and the design of thermal emitter in thermal photovoltaic is demonstrated. Discussion in the report includes the ability of the optimal PhC structures designed using the proposed method, to produce unprecedented high emission efficiencies of 54.5% in a significantly long wavelength region and 84.9% at significantly short wavelength region. |
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| Keywords: | genetic algorithm heuristic search hybrid optimization photonic crystals emitter design |
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