Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density

Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density

High-entropy alloys (HEAs) have attracted considerable attention for their exceptional microstructures and properties. Discovering new HEAs with desirable properties is crucial, but traditional design methods are laborious and time-consuming. Fortunately, the emerging Machine Learning (ML) offers an...

Full description

Bibliographic Details
Main Authors: Shunli Zhao, Bin Jiang, Kaikai Song, Xiaoming Liu, Wenyu Wang, Dekun Si, Jilei Zhang, Xiangyan Chen, Changshan Zhou, Pingping Liu, Dong Chen, Zequn Zhang, Parthiban Ramasamy, Junlei Tang, Wenquan Lv, Konda Gokuldoss Prashanth, Daniel Şopu, Jürgen Eckert
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Materials & Design
Subjects:
High-entropy alloys
Machine learning
eXtreme Gradient Boosting
Microhardness
Microstructure
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524000066

Internet

http://www.sciencedirect.com/science/article/pii/S0264127524000066

Similar Items