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Prediction of the stacking fault energy in austenitic stainless steels using an artificial neural network
Author(s) -
Alexandra Rengifo Román,
B. Campillo,
Herminio Martínez García,
O. Flores
Publication year - 2019
Publication title -
international journal of engineering and technical research (ijetr)
Language(s) - English
Resource type - Journals
eISSN - 2454-4698
pISSN - 2321-0869
DOI - 10.31873/ijetr.9.1.2019.18
Subject(s) - artificial neural network , stacking fault energy , austenite , materials science , stacking , fault (geology) , energy (signal processing) , artificial intelligence , metallurgy , computer science , geology , seismology , mathematics , statistics , physics , microstructure , nuclear magnetic resonance

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