Artificial Intelligence for Instability in Inorganic Perovskites: From Mechanism Discovery to Engineering Strategies
This review outlines how artificial intelligence can overcome current limitations in studying the instability of 3D all-inorganic halide perovskites by structuring research into four key tasks—stability diagnosis, mechanism analysis, reliability modeling, and engineering enhancement—while proposing future directions for standardized data, interpretable models, and integrated automated experimentation.