Dataset for High-Entropy Alloys Phases
Published: 14 December 2020| Version 1 | DOI: 10.17632/7fhwrgfh2s.1
Contributor:
Ronald MachakaDescription
The dataset contains microstructural phase experimental observations and metallurgy-specific features as introduced and reported in peer-reviewed research articles. Secondary data (i.e. composition-specific features, alloy processing and post-processing parameters, and the resulting phases) were collected. Some typical empirical HEA design parameters were calculated using known methods. Data was processed using Excel and R, a language and environment for statistical computing, for purposes of visualization and data analysis.
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Institutions
Council for Scientific and Industrial Research, University of Johannesburg
Categories
Machine Learning, Metallurgy