Data for: Modern Data Analytics Approach to Predict Creep of High-Temperature Alloys

Published: 31 March 2020| Version 1 | DOI: 10.17632/mytym5yxjd.1
Contributors:
Yukinori Yamamoto,
Michael Brady,
Sangkeun Lee,
James Allen Haynes

Description

ORNL's alumina-forming austenitic (AFA) alloy creep dataset augmented with phase equilibrium information computed from TCFE9 database as implemented in Thermo-Calc software.

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Categories

Computational Materials Science, Machine Learning, Correlation Analysis, High Temperature Alloys

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