BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks

BoltzmaNN is a machine learning approach based on artificial neural networks for predicting equations of state and for structural coarse-graining.
A detailed description of the method can be found in our research paper.
The trained models and example scripts are available on our git repository.
BoltzmaNN is also available as a web application. The tool for predicting the equation of state can be found here, while the tool for computing effective pair potentials can be found here.