Integrating Artificial Intelligence and Machine Learning in Corrosion Studies: Current Applications, Challenges, and Future Directions

This review explores the integration of artificial intelligence (AI) and machine learning (ML) in corrosion studies. It covers corrosion fundamentals, AI/ML basics, and their current applications in corrosion research, including corrosion rate prediction, material selection, real-time monitoring, and control. The paper discusses challenges such as data quality and model interpretability, along with ethical considerations. It also outlines future directions, highlighting the potential of AI/ML in revolutionizing corrosion prevention and control.