Element-configuration dependent first-principles machine learning studies of multiple alloying effects on the structure stability of Co3(Al, W)-Reference-Cited by-同舟云学术

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Element-configuration dependent first-principles machine learning studies of multiple alloying effects on the structure stability of Co3(Al, W)

Published:2024-01 Issue: Volume:233 Page:112767
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Guo Jing,Xiao Bin,Tang Yuchao,Li Yihang^ORCID,Zhai Dong,Fan Xue,Liu Yi^ORCID

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference39 articles.

1. Cobalt-base high-temperature alloys;Sato;Science,2006

2. First approach for thermodynamic modelling of the high temperature oxidation behaviour of ternary γ′-strengthened Co–Al–W superalloys;Klein;Corros. Sci.,2014

3. Novel wrought γ/γ′ cobalt base superalloys with high strength and improved oxidation resistance;Neumeier;Scr. Mater.,2015

4. New Co-based γ-γ′ high-temperature alloys;Pollock;JOM,2010

5. γ′ Phase Stability and Phase Equilibrium in Ternary Co-Al-W at 900°C;Lass;J. Phase Equilib. Diffus.,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. First principles study on structural stability, mechanical, and thermodynamic properties of γ'-Co3(V, M) (M = Ti, Ta) phase;Acta Physica Sinica;2024

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