In this work, we develop a neural network (NN)based model to explore the soot formation mechanism with ab initio accuracy. NN-based molecular dynamics simulations (NNMDs) of acetylene and PAH radicals of different sizes are performed using a nanoreactor scheme to investigate the mechanism of soot inception. The product structures of PAH radicals are analyzed to interpret the potential nucleation mechanism for different sized radicals.