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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
宋宇辉的个人主页
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Posts
data and code for pitting potential of alloys
Published:
The data and code for the manuscript “Interpretability study on prediction models for alloy pitting based on ensemble learning” are in the following zip file. For the python program you can use jupyter notebook to read the code and the results of the calculations, and more detailed data can be obtained by contacting the author.
模型解释
Published:
通常机器学习方法如同一个黑盒子难以理解，然而一系列的解释性帮助知道模型是如何做出预测的
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
This is my labortory
这是一群可爱的人儿 
My Cat
这是我的猫 它叫锅巴
publications
a continuation …
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Interpretable machine learning for maximum corrosion depth and influence factor analysis
Published in npj Materials Degradation, 2023
This paper is about prediction of pitting depth, which uses interpretable machine learning methods to explore the running of the model and the laws of effect of features.
Download here
Evolution of corrosion prediction models for oil and gas pipelines: From empirical-driven to data-driven
Published in Engineering Failure Analysis, 2023
This work systematically reviews these models including their evolution, characteristics, limitations, and performance, and highlights the application of data-driven models. In addition, a ML method database of corrosion prediction for oil and gas pipelines was created by summarizing the pre-processing, input and output parameters and performance metrics of ML models, which provide guidance for rational selection of models. Finally, conclusions and recommendations are presented and provide a broad outlook for future research paths.
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.