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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月7日

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  • Siyu Xu,
  • Fan Li,
  • Congcong Du,
  • Dianchun Ju,
  • Yaqing Hou,
  • Xiangyang Li

摘要

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.