Тип публикации: статья из журнала
Год издания: 2023
Идентификатор DOI: 10.1364/ol.494629
Аннотация: <jats:p>In this Letter, we consider optical bound states in the continuum (BICs) in the infrared range supported by an all-dielectric metasurface in the form of subwavelength dielectric grating. We apply the random forest machine learning method to predict the frequency of the BICs as dependent on the optical and geometric parameteПоказать полностьюrs of the metasurface. It is found that the machine learning approach outperforms the standard least square method at the size of the dataset of ≈4000 specimens. It is shown that the random forest approach can be applied for predicting the subband in the infrared spectrum into which the BIC falls. The important feature parameters that affect the BIC wavelength are identified.</jats:p>
Журнал: Optics Letters
Выпуск журнала: Т.48, №17
Номера страниц: 4460
ISSN журнала: 01469592
Издатель: Optical Society of America