Application of machine learning in material corrosion research
Shuaijie Ma, Yanxia Du, Shasha Wang, Yanjing Su
Abstract
Abstract The application of machine learning (ML) to corrosion research has become an important trend in corrosion science in recent years. In this paper, the feature extraction method for corrosion data and the ML algorithms commonly used (including artificial neural networks, support vector machines, ensemble learning and other widely used algorithms) in corrosion field is introduced. Then, the characteristics of different algorithms and their application scenarios in the corrosion prediction are summarized. Finally, the development trend of ML in material corrosion field is prospected.
Topics & Concepts
CorrosionMaterials scienceSupport vector machineArtificial neural networkField (mathematics)Artificial intelligenceMachine learningComputer scienceMetallurgyMathematicsPure mathematicsConcrete Corrosion and DurabilityCorrosion Behavior and InhibitionSmart Materials for Construction