دورية أكاديمية

LIDAR and Beam Steering Tailored by Neuromorphic Metasurfaces Dipped in a Tunable Surrounding Medium

التفاصيل البيبلوغرافية
العنوان: LIDAR and Beam Steering Tailored by Neuromorphic Metasurfaces Dipped in a Tunable Surrounding Medium
المؤلفون: Giuseppe Emanuele Lio, Antonio Ferraro
المصدر: Photonics, Vol 8, Iss 3, p 65 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Applied optics. Photonics
مصطلحات موضوعية: beam steering, tunable devices, metasurfaces, deep machine learning, Applied optics. Photonics, TA1501-1820
الوصف: The control of amplitude, losses and deflection of light with elements of an optical array is of paramount importance for realizing dynamic beam steering for light detection and ranging applications (LIDAR). In this paper, we propose an optical beam steering device, operating at a wavelength of 1550 nm, based on high index material as molybdenum disulfide (MoS2) where the direction of the light is actively controlled by means of liquid crystal. The metasurface have been designed by a deep machine learning algorithm jointed with an optimizer in order to obtain univocal optical responses. The achieved numerical results represent a promising way for the realization of novel LIDAR for future applications with increase control and precision.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2304-6732
Relation: https://www.mdpi.com/2304-6732/8/3/65; https://doaj.org/toc/2304-6732
DOI: 10.3390/photonics8030065
URL الوصول: https://doaj.org/article/a84feb37067b4deaab2d989d206dfb96
رقم الأكسشن: edsdoj.84feb37067b4deaab2d989d206dfb96
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23046732
DOI:10.3390/photonics8030065