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- W2922427797 abstract "Artificial neural networks (ANNs) have been recognized as a fast andflexible tool for microwave modeling, design, and optimization. Similarly,ANNs can be utilized in the design and optimization of photonic devices toprovide fast simulation and speed up the design process. ANN models canproduce great efficiency in design and optimization processes whenrepetitive computationally intensive simulations are required for modelingof optical passive elements using commercial tools. In this paper weexplore how trained ANNs can be utilized for the fast simulation ofoptical passive elements, while attaining high accuracy. We present thedesign of four fundamental optical passive elements using commercial toolsand compare the results with our trained ANN model. In all four examplesillustrated, the error ranges from 0.5% to 1.7% while the simulation timeis in the range of milliseconds instead of minutes or hours. Finally, wediscuss possible uses of these trained ANNs with respect to the design,optimization, and statistical validation of photonic devices." @default.
- W2922427797 created "2019-03-22" @default.
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- W2922427797 date "2019-03-18" @default.
- W2922427797 modified "2023-09-24" @default.
- W2922427797 title "Design and optimization of optical passive elements using artificial neural networks" @default.
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- W2922427797 doi "https://doi.org/10.1364/josab.36.000999" @default.
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