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Self-training of nanophotonic electromagnetic simulator leveraging generative models

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Abstract

We propose a self-training process of an electromagnetic simulator implemented with generative models. Nanophotonic structures are generated without time-consuming electromagnetic simulations and are added to the original dataset to increase the accuracy of networks.

© 2023 The Author(s)

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