A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels

Chaudhary, N.; Abu-Odeh, A.; Karaman, I.; Arróyave, R.

doi:10.1007/s10853-017-1252-x

Title: A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels

Journal Article · Tue Jun 13 00:00:00 EDT 2017 · Journal of Materials Science

DOI:https://doi.org/10.1007/s10853-017-1252-x· OSTI ID:1533354

; Abu-Odeh, A.; Karaman, I.; Arróyave, R.

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Research Organization:: Texas A & M Univ., College Station, TX (United States). Texas A & M Engineering Experiment Station

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

DOE Contract Number:: FE0008719

OSTI ID:: 1533354

Journal Information:: Journal of Materials Science, Vol. 52, Issue 18; ISSN 0022-2461

Publisher:: Springer

Country of Publication:: United States

Language:: English

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