Modeling the environmental dependence of pit growth using neural network approaches
Version 2 2024-06-02, 23:54
Version 1 2023-11-03, 04:33
journal contribution
posted on 2024-06-02, 23:54 authored by MK Cavanaugh, RG Buchheit, Nick BirbilisNick BirbilisModeling the environmental dependence of pit growth using neural network approaches
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Journal
Corrosion ScienceVolume
52Pagination
3070-3077ISSN
0010-938XeISSN
1879-0496Language
EnglishPublication classification
C1.1 Refereed article in a scholarly journalIssue
9Publisher
PERGAMON-ELSEVIER SCIENCE LTDPublication URL
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Keywords
Science & TechnologyTechnologyMaterials Science, MultidisciplinaryMetallurgy & Metallurgical EngineeringMaterials ScienceAluminum alloysPitting corrosionNeural networksCORROSION DAMAGE ACCUMULATIONOXYGEN REDUCTION REACTION7075-T6 ALUMINUM-ALLOYPITTING CORROSIONELECTROCHEMICAL-BEHAVIORINTERMETALLIC PHASESLOCALIZED CORROSIONCONSTITUENT PARTICLESATMOSPHERIC CORROSIONFATIGUE
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