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Inverse design of all-dielectric metasurfaces with accidental bound states in the continuum
被引:6
|作者:
Gladyshev S.
[1
]
Karamanos T.D.
[2
]
Kuhn L.
[3
,4
]
Beutel D.
[3
]
Weiss T.
[1
,7
]
Rockstuhl C.
[3
,5
]
Bogdanov A.
[6
,8
]
机构:
[1] Institute of Physics, University of Graz, Universitätsplatz 5, Graz
[2] Institut Langevin, ESPCI Paris, Université PSL, CNRS, Paris
[3] Institute of Theoretical Solid State Physics, Karlsruhe Institute of Technology, Karlsruhe
[4] Steinbuch Centre for Computing - Scientific Computing & Mathematics, Karlsruhe Institute of Technology, Karlsruhe
[5] Institute of Nanotechnology, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen
[6] Qingdao Innovation and Development Center of Harbin Engineering University, Shandong, Qingdao
[7] 4th Physics Institute and SCoPE, University of Stuttgart, Pfaffenwaldring 57, Stuttgart
[8] Harbin Engineering University, Harbin
关键词:
bound states in the continuum;
inverse design;
machine learning;
metasurfaces;
multipole approximation;
T matrix;
D O I:
10.1515/nanoph-2023-0373
中图分类号:
学科分类号:
摘要:
Metasurfaces with bound states in the continuum (BICs) have proven to be a powerful platform for drastically enhancing light-matter interactions, improving biosensing, and precisely manipulating near- and far-fields. However, engineering metasurfaces to provide an on-demand spectral and angular position for a BIC remains a prime challenge. A conventional solution involves a fine adjustment of geometrical parameters, requiring multiple time-consuming calculations. In this work, to circumvent such tedious processes, we develop a physics-inspired, inverse design method on all-dielectric metasurfaces for an on-demand spectral and angular position of a BIC. Our suggested method predicts the core-shell particles that constitute the unit cell of the metasurface, while considering practical limitations on geometry and available materials. Our method is based on a smart combination of a semi-analytical solution, for predicting the required dipolar Mie coefficients of the meta-atom, and a machine learning algorithm, for finding a practical design of the meta-atom that provides these Mie coefficients. Although our approach is exemplified in designing a metasurface sustaining a BIC, it can, also, be applied to many more objective functions. With that, we pave the way toward a general framework for the inverse design of metasurfaces in specific and nanophotonic structures in general. © 2023 the author(s), published by De Gruyter, Berlin/Boston.
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页码:3767 / 3779
页数:12
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