First-principles and machine learning study of the NRR in curvature-tuned TM-doped CNTs

(*NNH), identifying physically meaningful descriptors. These findings elucidate the intrinsic relationship between curvature and catalytic performance from a multi-scale perspective, providing theoretical insights and optimization strategies for the curvature-based design of single-atom transition metal catalysts.