Work

Predicting the degree of sensitisation of AA5456 alloys through convolution neural networks using microstructural images

Year: 2026

Type: article

Source: Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control

DOI: 10.1177/1478422x261420383

Authors: Jacob Steiner, Yasser Ismail, William Glumbfskie, Jack Price

Institutions: Naval Surface Warfare Center, NSWC Carderock Division, Southern University and Agricultural and Mechanical College

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7128806309

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Cites: 17

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