WeChat Mini Program
Old Version Features

Light Output Improvement of InGaN-Based Light-Emitting Diodes by Microchannel Structure

IEEE Photonics Technology Letters(2007)SCI 3区

Chang Gung Univ

Cited 16|Views5
Abstract
We propose a microchannel structure with deep holes to enhance the extraction efficiency of InGaN-based light-emitting diodes (LEDs). Two different depth microchannel LEDs are examined experimentally. One has air holes penetrated through the active layer and the other does not. It is found that the light extraction efficiency in the LED with the penetrated air holes is significantly larger than that in the LED without penetrating holes. The reason can be attributed to the microchannel waveguide behaviors. In comparison to the conventional LEDs, the light output power of our fabricated LEDs with and without penetrating holes improved by 43.5% and 5.1 %, respectively.
More
Translated text
Key words
extraction efficiency,light-emitting diodes (LEDs),light output power,microchannel structure
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
Related Papers

Photonic Crystals: Physics And Practical Modeling

PHOTONIC CRYSTALS: PHYSICS AND PRACTICAL MODELING 2009

被引用177

Photonic Crystals

Springer Series in Optical Sciences 2009

被引用104

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
Summary is being generated by the instructions you defined