Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations

Data science and material informatics are gaining traction in alloy design. This is due to increasing infrastructure, computational capabilities and established open-source composition-structure-property databases increasingly becoming available. Additionally, the popularization of data science tech...

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Bibliographic Details

Main Authors:	D.E.P. Klenam, T.K. Asumadu, M. Vandadi, N. Rahbar, F. McBagonluri, W.O. Soboyejo
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2023-09-01
Series:	Results in Materials
Subjects:	Alloy development Computational alloy design Machine learning Material informatics Rational alloy design
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590048X23000936
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