New paradigms in manifold learning for knowledge discovery and inverse design of photonic nanostructures

Mohammadreza Zandehshahvar; Mohammad Hadigheh Javani; Yashar Kiarashi; Muliang Zhu; Tyler Brown; Daqian Bao; Mahmoodreza Marzban; Reza Pourabolghasem; Ali Adibi

doi:10.1117/12.2662754

15 March 2023 New paradigms in manifold learning for knowledge discovery and inverse design of photonic nanostructures

Mohammadreza Zandehshahvar, Mohammad Hadigheh Javani, Yashar Kiarashi, Muliang Zhu, Tyler Brown, Daqian Bao, Mahmoodreza Marzban, Reza Pourabolghasem, Ali Adibi

Author Affiliations +

Proceedings Volume 12430, Quantum Sensing and Nano Electronics and Photonics XIX; 1243009 (2023) https://doi.org/10.1117/12.2662754
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

This talk is focused on using the intelligent aspects of machine learning (ML) for both the understanding of the subtle properties of nanophotonic devices and their inverse design to achieve a desired response. It will be shown that by reducing the dimensionality of the problem using manifold learning techniques and simplifying the resulting networks using pruning, the computation complexity of the underlying artificial intelligence (AI) algorithms will be considerably reduced. Furthermore, by optimally defining the loss function (or the metric) for AI algorithms, priceless information about the properties of photonic nanostructures can be uncovered while facilitating the better visualization of the input-output relationship in these nanostructures. In addition, the resulting manifold-learning algorithms can be optimally trained to facilitate the inverse design of such nanostructures while minimizing the structural complexity. This talk will provide the foundation for both knowledge discovery and design in photonic nanostructures using manifold learning and metric learning and their application to the highly desired metaphotonic structures as an example platform.

Conference Presentation

Citation Download Citation

Mohammadreza Zandehshahvar, Mohammad Hadigheh Javani, Yashar Kiarashi, Muliang Zhu, Tyler Brown, Daqian Bao, Mahmoodreza Marzban, Reza Pourabolghasem, and Ali Adibi "New paradigms in manifold learning for knowledge discovery and inverse design of photonic nanostructures", Proc. SPIE 12430, Quantum Sensing and Nano Electronics and Photonics XIX, 1243009 (15 March 2023); https://doi.org/10.1117/12.2662754

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