Assessing near-field properties from the far-field characteristics of coupled nanostructures using deep learning

Sofia Ponomareva; Juliette Jiménez Jaimes; Peter Wiecha

doi:10.1117/12.3016758

18 June 2024 Assessing near-field properties from the far-field characteristics of coupled nanostructures using deep learning

Sofia Ponomareva, Juliette Jiménez Jaimes, Peter Wiecha

Author Affiliations +

Proceedings Volume PC13017, Machine Learning in Photonics; PC1301708 (2024) https://doi.org/10.1117/12.3016758
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

In this work, we study the problem of coupling between nanostructures by means of artificial neural networks. We consider the perturbation of the optical response of a nanoparticle induced by nanostructures in its close proximity. We train an ANN to predict the near-field characteristics of the system based on the far-field scattering spectra readily achievable from the experiment.

Conference Presentation

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Sofia Ponomareva, Juliette Jiménez Jaimes, and Peter Wiecha "Assessing near-field properties from the far-field characteristics of coupled nanostructures using deep learning", Proc. SPIE PC13017, Machine Learning in Photonics, PC1301708 (18 June 2024); https://doi.org/10.1117/12.3016758

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