Abstract
We use artificial intelligence techniques such as the genetic algorithm and convolutional neural networks for optimization and prediction of absorption spectra of plasmonic metasurfaces for enhancing hot-electron generation. The predictions of our algorithms agree well to experimental results.
© 2021 The Author(s)
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