Machine‐Learning‐Driven Design of Dynamically Adaptive MOF Catalysts: Structural Evolution Mechanisms and Industrial Translation Pathways in Seawater Electrolysis

ABSTRACT Metal‐organic frameworks (MOFs) have emerged as promising electrocatalysts for seawater electrolysis, primarily owing to their structural tunability and high porosity. However, the practical application of MOFs is hindered by severe structural degradation under harsh seawater conditions, which includes chloride corrosion, microbial attack, pH fluctuations, and electric field‐induced reconstruction. This review systematically elucidates the dynamic evolution mechanisms of MOFs during seawater electrolysis, with a focus on corrosion‐driven degradation, electric field‐mediated valence oscillation, and ligand reconfiguration. We explore adaptive design strategies such as self‐healing, heterojunction…

• NN
  National Natural Science Foundation of China

  Award: 22469002
• IU
  Islamic University of Madinah