Representing Potential Energy Surfaces with Neural Networks and High Dimensional Model Representations

摘要

I shall discuss a new method for fitting a potential function (or in fact any function) to multidimensional data. The algorithm uses a representation in terms of lower-dimensional component functions of optimized coordinates. It permits dimensionality reduction. Neural networks are used to construct the component functions.