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Application of Artificial Neural Network to Predict the Crystallite Size and Lattice Strain of CoCrFeMnNi High Entropy Alloy Prepared by Powder Metallurgy

Crossref DOI link: https://doi.org/10.1007/s12540-022-01355-w

Published Online: 2022-12-26

Published Print: 2023-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nagarjuna, Cheenepalli

Dewangan, Sheetal Kumar

Sharma, Ashutosh

Lee, Kwan

Hong, Soon-Jik

Ahn, Byungmin https://orcid.org/0000-0002-0866-6398
Funding

Funding for this research was provided by:

National Research Foundation of Korea (2021R1A2C1005478)

National Research Foundation of Korea (2021R1A4A1031357)

National Research Foundation of Korea (2022R1I1A1A01055105)

National Research Foundation of Korea (2022R1I1A1A01053047)

National Research Foundation of Korea (2020R1I1A3070962)
License Information

Text and Data Mining valid from 2022-12-26

Version of Record valid from 2022-12-26
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Article History

Received: 2 October 2022

Accepted: 21 November 2022

First Online: 26 December 2022

Declarations

:

: On behalf of all authors, the corresponding author states that there is no conflict of interest.

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