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Conferences > CLEO_SI > 2020 > SF1R > SF1R.4

Cracking the Design Complexity of Nanostructures Using Geometric Deep Learning

Mohammadreza Zandehshahvar, Yashar Kiarashinejad, Omid Hemmatyar, Sajjad Abdollahramezani, Reza Pourabolghasem, and Ali Adibi

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Abstract

We present a new approach based on machine learning algorithms for inverse design of photonic nanostructure to provide the desired response while iteratively reducing the complexity of the structure to minimize the design complexity.

© 2020 The Author(s)

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