Browsing by Subject "Austenitic Steels"
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A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels (2016-08-05)The Material Genome Initiative (MGI) calls for establishing frameworks and adopting methodologies to accelerate materials discovery and deployment. The Integrated Computational Materials Engineering (ICME) approach and ...