Inverse Engineering of Absorption and Scattering in Nanoparticles: A Machine Learning Approach

Authors

Alex Vallone, Chapman University
Nooshin M. Estakhri, Virginia Tech
Nasim Mohammadi Estrakhri, Chapman UniversityFollow

Document Type

Article

Publication Date

11-12-2023

Abstract

We use a region-specified machine learning approach to inverse design highly absorptive multilayer plasmonic nanoparticles. We demonstrate the design of particles with a wide range of absorption to scattering ratios (i.e., cloaked absorbers and bright absorbers) and for different visible wavelengths.

Comments

This is a pre-copy-editing, author-produced PDF of an article accepted for publication in the proceedings of the 2023 IEEE Photonics Conference (IPC). This article may not exactly replicate the final published version. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/IPC57732.2023.10360618.

Recommended Citation

A. Vallone, N. M. Estakhri and N. M. Estakhri, "Inverse Engineering of Absorption and Scattering in Nanoparticles: A Machine Learning Approach," 2023 IEEE Photonics Conference (IPC), Orlando, FL, USA, 2023, pp. 1-2, https://doi.org/10.1109/IPC57732.2023.10360618.

Copyright

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