Synchrotron X-Ray Topography Observation and Classification of Dislocations in $\Beta$-Ga2o3 Single Crystal Substrates Grown by EFG
2019 Compound Semiconductor Week (CSW)(2019)
Japan Fine Ceram Ctr
Abstract
Dislocations in EFG-grown β-Ga 2 O 3 substrates have been studied in details by using synchrotron X-ray topography (XRT), chemical etching and transmission electron microscopy. Focus has been placed on accurate detection and classification of dislocations over a large sample area by their burgers vectors. By analyzing XRT contrast change of a same dislocation observed under varying diffraction conditions in terms of g-vector, burgers vector of the dislocation can be deduced. In this way, types of dislocations and their distribution over a large sample area were obtained. In addition, chemical etching and TEM were applied to study the structural properties of dislocations of interest in details.
MoreTranslated text
Key words
dislocation,chemical etching,burgers vector,XRT contrast change,synchrotron X-ray topography,EFG-grown β-Ga2O3 substrates,β-Ga2O3 single crystal substrates,transmission electron microscopy,g-vector,Ga2O3
求助PDF
上传PDF
View via Publisher
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
Summary is being generated by the instructions you defined