Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel-Reference-Cited by-同舟云学术

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Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel

Published:2019-10 Issue: Volume:179 Page:201-214
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Shen Chunguang^ORCID,Wang Chenchong,Wei Xiaolu,Li Yong,van der Zwaag Sybrand,Xu Wei

Funder

National Natural Science Foundation of China

National Key R&D Program

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference67 articles.

1. Microstructural evolution in a PH13-8 stainless steel after ageing;Guo;Acta Mater.,2003

2. Splitting phenomenon in the precipitation evolution in an Fe-Ni-Al-Ti-Cr stainless steel;Leitner;Acta Mater.,2010

3. Effect of aging on microstructure and mechanical property of 1900 MPa grade maraging stainless steel;Liu;J. Mater. Sci. Technol.,2007

4. Aging characteristics and mechanical properties of 1600 MPa body-centered cubic Cu and B2-NiAl precipitation-strengthened ferritic steel;Kapoor;Acta Mater.,2014

5. Role of Co in formation of Ni-Ti clusters in maraging stainless steel;Tian;J. Mater. Sci. Technol.,2018

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