Device-level modelling for predicting the total density of states of single-walled CNTs with increasing chirality: a fusion of ab initio modeling and a machine learning framework

A DFT-ML hybrid model predicts the TDOS of zigzag SWCNTs ( n = 4–10), revealing chirality-dependent electronic behavior with a metallic or semiconducting character, enabling efficient nanoscale material design.