Machine learning-based prediction of the adsorption energy of CO on boron-doped graphene

To accurately and quickly investigate the adsorption ability of different boron-doped graphene for CO, 1864 different sets of CO adsorption energy on boron-doped graphene were obtained by simulation, and an overall framework based on machine learning was proposed.