Mie Resonance-based Meta-atom Design with Machine Learning Method
Publication
, Conference
Li, W; Sedeh, HB; Padilla, WJ; Malof, J; Litchinitser, NM
Published in: CLEO: Science and Innovations, CLEO:S and I 2023
January 1, 2023
Forward prediction machine learning models were developed to predict the scattering behaviors and electromagnetic field of meta-atoms, while an inverse design model was built for reconstructing meta-atoms under the guidance of multipole expansion theory.
Duke Scholars
Published In
CLEO: Science and Innovations, CLEO:S and I 2023
DOI
Publication Date
January 1, 2023
Citation
APA
Chicago
ICMJE
MLA
NLM
Li, W., Sedeh, H. B., Padilla, W. J., Malof, J., & Litchinitser, N. M. (2023). Mie Resonance-based Meta-atom Design with Machine Learning Method. In CLEO: Science and Innovations, CLEO:S and I 2023. https://doi.org/10.1364/CLEO_AT.2023.SW4P.5
Li, W., H. B. Sedeh, W. J. Padilla, J. Malof, and N. M. Litchinitser. “Mie Resonance-based Meta-atom Design with Machine Learning Method.” In CLEO: Science and Innovations, CLEO:S and I 2023, 2023. https://doi.org/10.1364/CLEO_AT.2023.SW4P.5.
Li W, Sedeh HB, Padilla WJ, Malof J, Litchinitser NM. Mie Resonance-based Meta-atom Design with Machine Learning Method. In: CLEO: Science and Innovations, CLEO:S and I 2023. 2023.
Li, W., et al. “Mie Resonance-based Meta-atom Design with Machine Learning Method.” CLEO: Science and Innovations, CLEO:S and I 2023, 2023. Scopus, doi:10.1364/CLEO_AT.2023.SW4P.5.
Li W, Sedeh HB, Padilla WJ, Malof J, Litchinitser NM. Mie Resonance-based Meta-atom Design with Machine Learning Method. CLEO: Science and Innovations, CLEO:S and I 2023. 2023.
Published In
CLEO: Science and Innovations, CLEO:S and I 2023
DOI
Publication Date
January 1, 2023