Smart material design via accelerated corrosion evaluation: convergence of high-throughput characterization and AI-driven prediction in marine engineering

Abstract

Traditional trial-and-error methods have hindered the rapid development of corrosion-resistant materials in the field of marine engineering. This paper provides a comprehensive review of high-throughput characterization, efficient multi-factor evaluation, and artificial intelligence prediction for metallic materials in marine environments. By integrating these three parts synergistically, this paper presents an innovative paradigm for materials corrosion research, aimed at significantly accelerating the design of next-generation smart materials suitable for harsh marine environments.