Mie Resonance-based Meta-atom Design with Machine Learning Method
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Li, W; Sedeh, HB; Padilla, WJ; Malof, J; Litchinitser, NM
Published in: 2023 Conference on Lasers and Electro Optics CLEO 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
2023 Conference on Lasers and Electro Optics CLEO 2023
Publication Date
January 1, 2023
Citation
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MLA
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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 2023 Conference on Lasers and Electro Optics CLEO 2023.
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 2023 Conference on Lasers and Electro Optics CLEO 2023, 2023.
Li W, Sedeh HB, Padilla WJ, Malof J, Litchinitser NM. Mie Resonance-based Meta-atom Design with Machine Learning Method. In: 2023 Conference on Lasers and Electro Optics CLEO 2023. 2023.
Li, W., et al. “Mie Resonance-based Meta-atom Design with Machine Learning Method.” 2023 Conference on Lasers and Electro Optics CLEO 2023, 2023.
Li W, Sedeh HB, Padilla WJ, Malof J, Litchinitser NM. Mie Resonance-based Meta-atom Design with Machine Learning Method. 2023 Conference on Lasers and Electro Optics CLEO 2023. 2023.
Published In
2023 Conference on Lasers and Electro Optics CLEO 2023
Publication Date
January 1, 2023