Diffractive Neural Network on a 3D Photonic Device for Spatial Mode Bases Mapping (Laser Photonics Rev. 18(12)/2024)

IF 10 1区 物理与天体物理 Q1 OPTICS Laser & Photonics Reviews Pub Date : 2024-12-09 DOI:10.1002/lpor.202470072
Jue Wang, Kangrui Wang, Chengkun Cai, Tianhao Fu, Jian Wang
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Abstract

3D Photonic Device for Spatial Mode Bases Mapping

By using the femtosecond laser direct writing technique, Jian Wang and co-workers design and fabricate a compact 3D photonic device based on diffractive neural network (DNN) for mode bases mapping, transforming orbital angular momentum (OAM) modes into linearly polarized (LP) modes; see article number 2400634. The capability of the compact 3D integrated device in spatial mode manipulation with favorable efficiency and flexibility is shown, making it suitable for grooming mode-division multiplexing (MDM) optical communications and optical interconnects, as well as other emerging applications with diverse spatial modes.

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基于衍射神经网络的三维光子器件空间模基映射(激光光子学vol . 18(12)/2024)
用于空间模式基底映射的三维光子器件
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来源期刊
CiteScore
14.20
自引率
5.50%
发文量
314
审稿时长
2 months
期刊介绍: Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications. As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics. The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.
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