A machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide

A combination of DFT and machine learning is adopted to probe the surface oxygen vacancy formation on titanium dioxide, which provides a fast and effective strategy for predicting the oxygen vacancy formation energy.