@inproceedings{f5138af2a77f431fafc7d4b474f54ce8,
title = "Bayesian optimization of photonic nanojets generated by multilayer dielectric structures",
abstract = "We employ a Bayesian optimization (BO) approach coupled with electromagnetic solver to optimize the photonic nanojets (PNJs) respectively generated by a 2D cuboid and a 3D concentric cylinder. The operating wavelength is selected atλ = 632.8 nm. By optimizing a five-layer cuboid, we achieved a narrow PNJ with waist at the full width at half-maximum (FWHM) about w ∼ 0.2λ and an ultra-long PNJ with a beam length 123λ, respectively. Whereas by optimizing 3D concentric cylinder, we achieved a narrow PNJ with waist at FWHM about w ∼ 0.22λand ultra-long PNJ with a beam length 78λ, respectively. Furthermore, we explore the physics behind the PNJ phenomenon, such as the fundamentals of extreme PNJ generation and the relation between the objective intensity profile and the refractive index gradients across the structure. The proposed approach presents an alternative approach to the design of various photonic nanostructures and may provide conventionally-inaccessible physical insight to their functionalities.",
keywords = "Bayesian optimization, photonic nanojet",
author = "Dasen Zhang and Zhenzhen Liu and Guochao Wei and Zhaojun Hu and Xiao, \{Jun Jun\}",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 2021 Applied Optics and Photonics China: Micro-Optics and MOEMS, AOPC 2021 ; Conference date: 20-06-2021 Through 22-06-2021",
year = "2021",
doi = "10.1117/12.2604996",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yuelin Wang and Huikai Xie and Yun-Feng Xiao",
booktitle = "AOPC 2021",
address = "美国",
}