Exploration of ductility for refractory high entropy alloys via interpretive machine learning

Exploration of ductility for refractory high entropy alloys via interpretive machine learning

Refractory high-entropy alloys (RHEAs) having excellent thermo-mechanical properties always suffer from room temperature brittleness, due to the inherent brittleness of refractory metal elements. RHEAs with compressive ductility ≥30 % hold particular commercial value. While ductility can be engineer...

Full description

Saved in:
Bibliographic Details
Main Authors: Shaolong Zheng, Lingwei Yang, Liyang Fang, Chenran Xu, Guanglong Xu, Yifang Ouyang, Xiaoma Tao
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Journal of Materials Research and Technology
Subjects:
Refractory high entropy alloys
Ductility
Machine learning
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785425015078
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items