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Geometric Deep Learning Unlocks the Underlying Physics of Nanostructures

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Abstract

We present a learning-based technique to develop a reliable tool for discovering the underlying physics and feasibility of achieving different type of responses in electromagnetic nanostructures.

© 2020 The Author(s)

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