Database, weights and biases
Published: 18 July 2020| Version 2 | DOI: 10.17632/t2kr5b4965.2
Contributors:
Alfonso Monzamodeth, Bernardo Campillo, Arturo Molina, Osvaldo FloresDescription
Database of stacking fault energies in austenitic stainless steels alloys and neural network weights and biases. SFE values extracted from: Toshio, Y., Ken, S., Suguru, O., Atsushi H. The Effect of Chemical Composition and Heat Treatment Conditions on Stacking Fault Energy for Fe-Cr-Ni Austenitic Stainless Steel. Metall Mater Trans A, 44 (2013) 5884.
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Categories
Austenitic Stainless Steel, Stacking Fault, Neural Networks