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The editorial discusses the potential of data analytics and artificial intelligence to advance corrosion science and engineering, highlighting the challenges and opportunities presented by the vast amounts of data generated over the past century. It emphasizes the need for innovative approaches, such as machine learning and physics-informed models, to predict corrosion behavior and improve corrosion control strategies. The authors suggest that these advancements could lead to significant progress in underst

Author

vitusiwuoha

Language

EN