Corrosion Inhibition, Inhibitor Environments, and the Role of Machine Learning

Corrosion Inhibition, Inhibitor Environments, and the Role of Machine Learning

Machine learning (ML) is providing a new design paradigm for many areas of technology, including corrosion inhibition. However, ML models require relatively large and diverse training sets to be most effective. This paper provides an overview of developments in corrosion inhibitor research, focussin...

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Bibliographic Details
Main Authors: Anthony E. Hughes, David A. Winkler, James Carr, P. D. Lee, Y. S. Yang, Majid Laleh, Mike Y. Tan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Corrosion and Materials Degradation
Subjects:
machine learning
high-throughput testing
corrosion inhibition
localised corrosion
X-ray CT
data-constrained modelling
Online Access:https://www.mdpi.com/2624-5558/3/4/37

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https://www.mdpi.com/2624-5558/3/4/37

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