High-Q Silicon Photonic Crystal Ring Resonator Based on Machine Learning

IF 4.1 1区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Lightwave Technology Pub Date : 2024-09-05 DOI:10.1109/jlt.2024.3454953

Li Liu, Yangcan Long, Kang Fu, Ping Zhao, Cong Hu

引用次数: 0

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基于机器学习的高 Q 值硅光子晶体环形谐振器

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Lightwave Technology 工程技术-工程：电子与电气

CiteScore

9.40

自引率

14.90%

发文量

936

审稿时长

3.9 months

期刊介绍： The Journal of Lightwave Technology is comprised of original contributions, both regular papers and letters, covering work in all aspects of optical guided-wave science, technology, and engineering. Manuscripts are solicited which report original theoretical and/or experimental results which advance the technological base of guided-wave technology. Tutorial and review papers are by invitation only. Topics of interest include the following: fiber and cable technologies, active and passive guided-wave componentry (light sources, detectors, repeaters, switches, fiber sensors, etc.); integrated optics and optoelectronics; and systems, subsystems, new applications and unique field trials. System oriented manuscripts should be concerned with systems which perform a function not previously available, out-perform previously established systems, or represent enhancements in the state of the art in general.