A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor
The utilization of metamaterials plays a pivotal role in integrated photonics. The precise design of metamaterials enables them to finely manipulate light, resulting in an ultra-compact footprint and exceptional performance that cannot be achieved by traditional structures. The conventional methods...
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| Format: | Article |
| Language: | English |
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De Gruyter
2025-01-01
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| Series: | Nanophotonics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nanoph-2024-0409 |
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| _version_ | 1823860520124416000 |
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| author | Fan Hangming Pan Junlin Wang Yongchen Yuan Zhe Cheng Mengfan Yang Qi Liu Deming Deng Lei |
| author_facet | Fan Hangming Pan Junlin Wang Yongchen Yuan Zhe Cheng Mengfan Yang Qi Liu Deming Deng Lei |
| author_sort | Fan Hangming |
| collection | DOAJ |
| description | The utilization of metamaterials plays a pivotal role in integrated photonics. The precise design of metamaterials enables them to finely manipulate light, resulting in an ultra-compact footprint and exceptional performance that cannot be achieved by traditional structures. The conventional methods for metamaterial design, however, encounter challenges from intricate targets. Although attempts have been made to apply inverse design to metamaterials, there is still a need for a highly intelligent, low-computation method, and easy-to-fabricate metamaterial structure. Here, we present an efficient methodology that combines metamaterials, heuristic algorithms, and machine learning to facilitate the rapid development of intricate devices. The method is used to design 1 × N power splitters with arbitrary power ratios, as an application example. Specifically, 1 × 2, 1 × 3, 1 × 4 power splitters with arbitrary ratios are fabricated and experimentally demonstrated. The application of this method in arbitrary power splitter highlights its appropriateness for the design and optimization within integrated photonics devices. |
| format | Article |
| id | doaj-art-b18ad65a62c141418726bc25e439521d |
| institution | Kabale University |
| issn | 2192-8614 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nanophotonics |
| spelling | doaj-art-b18ad65a62c141418726bc25e439521d2025-02-10T13:24:47ZengDe GruyterNanophotonics2192-86142025-01-0114216918110.1515/nanoph-2024-0409A novel intelligent photonic design method enabled by metamaterials and k-nearest neighborFan Hangming0Pan Junlin1Wang Yongchen2Yuan Zhe3Cheng Mengfan4Yang Qi5Liu Deming6Deng Lei7Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, 12443Huazhong University of Science and Technology, Wuhan430074, ChinaThe utilization of metamaterials plays a pivotal role in integrated photonics. The precise design of metamaterials enables them to finely manipulate light, resulting in an ultra-compact footprint and exceptional performance that cannot be achieved by traditional structures. The conventional methods for metamaterial design, however, encounter challenges from intricate targets. Although attempts have been made to apply inverse design to metamaterials, there is still a need for a highly intelligent, low-computation method, and easy-to-fabricate metamaterial structure. Here, we present an efficient methodology that combines metamaterials, heuristic algorithms, and machine learning to facilitate the rapid development of intricate devices. The method is used to design 1 × N power splitters with arbitrary power ratios, as an application example. Specifically, 1 × 2, 1 × 3, 1 × 4 power splitters with arbitrary ratios are fabricated and experimentally demonstrated. The application of this method in arbitrary power splitter highlights its appropriateness for the design and optimization within integrated photonics devices.https://doi.org/10.1515/nanoph-2024-0409metamaterialmachine learninginverse designpower splitter |
| spellingShingle | Fan Hangming Pan Junlin Wang Yongchen Yuan Zhe Cheng Mengfan Yang Qi Liu Deming Deng Lei A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor Nanophotonics metamaterial machine learning inverse design power splitter |
| title | A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor |
| title_full | A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor |
| title_fullStr | A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor |
| title_full_unstemmed | A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor |
| title_short | A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor |
| title_sort | novel intelligent photonic design method enabled by metamaterials and k nearest neighbor |
| topic | metamaterial machine learning inverse design power splitter |
| url | https://doi.org/10.1515/nanoph-2024-0409 |
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