Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning

Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning

Multi-principal elements alloys (MPEAs) have been attracted extensive attention in industry due to their extraordinary properties. However, owning to their large degree of freedom in composition design, finding the principal influence factors of the material properties and further coordinating a des...

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Bibliographic Details
Main Authors: Shengping Si, Bojian Fan, Xingwei Liu, Tian Zhou, Chuan He, Dandan Song, Jinxu Liu
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Materials & Design
Subjects:
Solid solution alloy
Machine learning
Features screening
Strength
Fracture strain
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127521003300

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