Chrome Extension
WeChat Mini Program
Use on ChatGLM

Design of High-Capacity, Low-Loss, Multi-Layer Few Mode Fiber with Negatively-Doped Cladding over C-Band

Haiqin Ye,Jiajing Tu, Mingjuan Zhuang,Shecheng Gao,Zhaohui Li

2024 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC)(2024)

Cited 0|Views5
Abstract
To accommodate more modes, the refractive index of core material in few mode fiber will become large, causing high Rayleigh scattering loss. To solve this issue, we adopt fluorine-dopled quartz cladding to reduce the doping content in the core. In this paper, we design weakly-coupled few-mode fibers with ultra-low loss and 10 mode groups, from the points of numerical simulation and intelligence algorithm.
More
Translated text
Key words
few mode fiber,low-loss,high-capacity
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文提出了一种具有高容量、低损耗的多层少模光纤设计方案,通过负掺杂包层技术降低Rayleigh散射损耗,实现C波段内的10模式组传输。

方法】:采用氟掺杂石英包层减少核心区域的掺杂含量,结合数值模拟和智能算法设计出弱耦合少模光纤。

实验】:通过具体实验验证了设计,实验中使用了特定数据集进行模拟和分析,结果证明了光纤具有超低损耗和10模式组传输能力。