Composition design of high-performance copper alloy by coupling artificial neural network and genetic algorithm-Reference-Cited by-同舟云学术

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Composition design of high-performance copper alloy by coupling artificial neural network and genetic algorithm

Published:2023-10 Issue: Volume:229 Page:112449
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Liu Kang,Zhang Ruijie,Zhang Si,Chang Yongqin,Li Mingyang,Wang Yijie,Liu Qingqing,Yu Daohan

Funder

National Natural Science Foundation of China

National Magnetic Confinement Fusion Program of China

Publisher

Elsevier BV

Subject

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

Reference64 articles.

1. Room temperature creep-fatigue response of selected copper alloys for high heat flux applications[J];Li;J. Nucl. Mater.,2004

2. Effect of rolling and aging processes on microstructure and properties of Cu-Cr-Zr alloy[J];Fu;Mater. Sci. Eng. A,2017

3. Effect of processing and heat treatment on behavior of Cu-Cr-Zr alloys to railway contact wire[J];Liu;Metall. Mater. Trans. A,2006

4. Research on aging precipitation in a Cu-Cr-Zr-Mg alloy[J];Su;Mater. Sci. Eng. A,2005

5. Effects of minor rare earths on the microstructure and properties of Cu-Cr-Zr alloy[J];Wang;J. Alloy. Compd.,2020

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1. A novel approach to predict the effect of chemical composition and thermo-mechanical processing parameters on Cu–Ni–Si alloys using a hybrid deep learning and ensemble learning model;Composites Communications;2024-06

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