Tailoring strength and ductility in dual-phase high-entropy alloys: Insights from deep learning molecular dynamics simulation on FCC/BCC thickness ratios

Tailoring strength and ductility in dual-phase high-entropy alloys: Insights from deep learning molecular dynamics simulation on FCC/BCC thickness ratios

This study investigates the influence of FCC/BCC thickness ratios on the mechanical properties of AlCoCrFeNi dual-phase high-entropy alloys (DP-HEAs) using deep learning-enhanced molecular dynamics simulations. The results demonstrate that varying the thickness ratio significantly affects the stress...

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Bibliographic Details
Main Authors: Shin-Pon Ju, Pin-Xiang Huang, Hui-Lung Chen, Hsin-Tsung Chen, Hsing-Yin Chen, Dong-Yeh Wu
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Journal of Materials Research and Technology
Subjects:
Dual-phase high-entropy alloys
FCC/BCC thickness ratio
Deep learning molecular dynamics
Dislocation density
Phase transformation
Mechanical properties
Online Access:http://www.sciencedirect.com/science/article/pii/S223878542402595X
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http://www.sciencedirect.com/science/article/pii/S223878542402595X

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