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A rapid and effective method for alloy materials design via sample data transfer machine learning

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Materials, Free Full-Text

Jianxin Xie's research works University of Science and Technology Beijing, Beijing (USTB) and other places

A rapid and effective method for alloy materials design via sample data transfer machine learning

A rapid and effective method for alloy materials design via sample data transfer machine learning

US20200257933A1 - Machine Learning to Accelerate Alloy Design - Google Patents

PDF) Discovery of aluminum alloys with ultra-strength and high-toughness via a property-oriented design strategy

Materials, Free Full-Text

Machine learning-guided design and development of metallic structural materials

Deep learning in alloy material microstructures: Application and prospects - ScienceDirect

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

DSC curve of 7075 aluminum alloy (a) and Liquid fraction ( fl) vs.

A rapid and effective method for alloy materials design via sample data transfer machine learning