Metasurface meta-atoms design based on DNN and LightGBM algorithms
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/02/01
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Journal
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Indian UGC (journal)
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Refrences34
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Citations5
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Leilei Gu
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Yaojun He
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Hongzhan Liu
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Zhongchao Wei
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Jianping Guo ORCID (unauthenticated)
Cite
Gu, Leilei, et al. “Metasurface Meta-Atoms Design Based on DNN and LightGBM Algorithms”. Optical Materials, vol. 136, 2023, p. 113471, https://doi.org/10.1016/j.optmat.2023.113471.
Gu, L., He, Y., Liu, H., Wei, Z., & Guo, J. (2023). Metasurface meta-atoms design based on DNN and LightGBM algorithms. Optical Materials, 136, 113471. https://doi.org/10.1016/j.optmat.2023.113471
Gu, Leilei, Yaojun He, Hongzhan Liu, Zhongchao Wei, and Jianping Guo. “Metasurface Meta-Atoms Design Based on DNN and LightGBM Algorithms”. Optical Materials 136 (2023): 113471. https://doi.org/10.1016/j.optmat.2023.113471.
Gu L, He Y, Liu H, Wei Z, Guo J. Metasurface meta-atoms design based on DNN and LightGBM algorithms. Optical Materials. 2023;136:113471.
Journal Categories
Science
Chemistry
Science
Physics
Optics
Light
Technology
Chemical technology
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| AI applications to medical images: From machine learning to deep learning | Physica Medica |
| 203 | 2021 |
| Broadband achromatic metalens for linearly polarized light from 450 to 800 nm | Applied Optics |
| 2021 | |
| Broadband achromatic metalens design based on deep neural networks | Optics Letters |
| 2021 | |
| Neural network enabled metasurface design for phase manipulation | Optics Express |
| 2021 | |
A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework | Sensors |
| 118 | 2021 |
Refrences Analysis
The category
Science: Physics 21
is the most frequently represented among the references in this article. It primarily includes studies from Optics Express and Molecular Physics. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Machine Learning for Engineering Meta‐Atoms with Tailored Multipolar Resonances | Laser & Photonics Reviews |
| 2024 | |
Optimized design for absorption metasurface based on autoencoder (AE) and BiLSTM-Attention-FCN-Net | Physica Scripta |
| 1 | 2024 |
Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning | International Transactions on Electrical Energy Systems |
| 2024 | |
| Dynamic Relationship Between Plasmonic Metasurface Geometric Parameters and Transmission Spectrum: A New Perspective Based on Multifractal Analysis and Prediction | Plasmonics |
| 1 | 2023 |
Inverse design of transmission-type linear-to-circular polarization control metasurface based on deep learning | Journal of Physics D: Applied Physics |
| 2023 |
Citations Analysis
The category
Science: Physics 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Inverse design of transmission-type linear-to-circular polarization control metasurface based on deep learning and was published in 2023. The most recent citation comes from a 2024 study titled Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning. This article reached its peak citation in 2024, with 3 citations. It has been cited in 5 different journals, 20% of which are open access. Among related journals, the International Transactions on Electrical Energy Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.