By performing a large number of FP calculations for various structures (solid, water, surface, etc.) with small system size, the FP data set (about 70000 structures) is created, and a predictive model reproducing the energy and forces of the FP data is constructed using machine learning. Molecular dynamics based on this predictive model enables us to conduct a high accuracy large-scale simulation.