Meiying Dai, Ruhui Wang, Nannan Sun, Wei Wu, Xinqing Chen
ABSTRACT High energy consumption during regeneration limits the industrial scalability of organic amine CO 2 capture. Catalytic desorption offers a solution by introducing solid acid catalysts to lower sensible, vaporization, and reaction heat, thereby enabling efficient regeneration and low‐temperature, high‐purity CO 2 release. This study reviews catalyst design strategies and performance, clarifying the underlying mechanisms of catalytic desorption. It concludes by discussing remaining challenges and future prospects, particularly the application of machine learning (ML) for the rational design of superior catalysts.