Corrosion remains one of the most persistent challenges in material science, leading to immense economic losses, structural failures, and environmental hazards. Traditional corrosion prevention methods, such as coatings, cathodic protection, and chemical inhibitors, have provided significant progress; however, limitations related to toxicity, environmental impact, and long-term durability necessitate novel approaches. This review comprehensively examines both conventional and emerging corrosion prevention strategies, focusing on the integration of green chemistry, nanotechnology, smart self-healing coatings, and artificial intelligence (AI)-driven predictive tools. Special emphasis is placed on the mechanisms of corrosion degradation, material-specific challenges, and the latest advances in computational modelling and data-driven design. The review concludes with applications across major industries, a discussion on sustainability and policy implications, and the alignment of corrosion prevention technologies with global Sustainable Development Goals (SDGs).
Samanth et al. (Mon,) studied this question.