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Materials and Manufacturing Processes Volume 32, 2017 - Issue 10
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Original Articles

Evolutionary intelligence in design and synthesis of bulk metallic glasses by mechanical alloying

Manwendra K. TripathiDepartment of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India;Department of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India
,
P. P. ChattopadhyayDepartment of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India;Department of Metallurgical and Materials Engineering, National Institute Foundry and Forge Technology, Hatia, Ranchi, India
&
Subhas GangulyDepartment of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, IndiaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-0878-7904
ORCID Icon
Pages 1059-1066 | Received 31 Aug 2016, Accepted 19 Dec 2016, Published online: 16 Feb 2017

Citations (4)

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J. Arasteh, G.H. Akbari & M.H. Khazaei Feizabad. (2020) Production of nanostructure Zr–ZrCr2–Cr composite via MA process and subsequent heat treatment. Materials and Manufacturing Processes 35:16, pages 1877-1884.
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Articles from other publishers (3)

Robert M. Forrest & A. Lindsay Greer. (2023) Evolutionary design of machine-learning-predicted bulk metallic glasses. Digital Discovery 2:1, pages 202-218.
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Munish K. Gupta, Mozammel Mia, Nancy Gupta, Sunpreet Singh, Ankush Choudhary, Muhammad Jamil, Aqib M. Khan, Krzysztof Nadolny, Wojciech Kapłonek, Danil Y. Pimenov & Catalin I. Pruncu. 2021. Modeling and Optimization in Manufacturing. Modeling and Optimization in Manufacturing 193 215 .
Junhyub Jeon, Namhyuk Seo, Hwi-Jun Kim, Min-Ha Lee, Hyun-Kyu Lim, Seung Bae Son & Seok-Jae Lee. (2021) Inverse Design of Fe-Based Bulk Metallic Glasses Using Machine Learning. Metals 11:5, pages 729.
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