A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

journal contribution

posted on 2024-06-02, 23:54 authored by Nick BirbilisNick Birbilis, MK Cavanaugh, AD Sudholz, SM Zhu, MA Easton, MA Gibson

A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

History

Journal

Corrosion Science

Volume

53

Pagination

168-176

ISSN

0010-938X

Language

English

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

1

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Publication URL

http://dx.doi.org/10.1016/j.corsci.2010.09.013

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Categories

Keywords

Science & Technology Technology Materials Science, Multidisciplinary Metallurgy & Metallurgical Engineering Materials Science Magnesium alloys Rare earth Corrosion Yield strength Neural network modelling CREEP-BEHAVIOR AE42

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All Rights Reserved

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