Machine learning potential

Machine Learning Potential (MLP) is a concept used in materials science and computational chemistry to model the potential energy surface of a system using machine learning techniques. It aims to provide an efficient and accurate way to estimate the interactions between atoms in a molecular or crystalline system without having to rely on traditional quantum mechanical calculations, which can be computationally expensive.