Multipolar Resonance Engineering Using Machine Learning

Wenhao Li, Hooman Barati Sedeh, Willie J. Padilla, Jordan Malof, Natalia M. Litchinitser

Research output: Contribution to journalConference articlepeer-review


We developed machine learning models to predict the multipolar resonances and electric field distributions of all-dielectric meta-atoms. Machine learning method is also used for inverse designing meta-atoms based on the desired multipolar resonances.

Original languageEnglish
Pages (from-to)1175
Number of pages1
JournalInternational Conference on Metamaterials, Photonic Crystals and Plasmonics
StatePublished - 2023
Event13th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2023 - Paris, France
Duration: Jul 18 2023Jul 21 2023


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