We introduce in this section the models which are currently available on our platform, through their methods computational implementations.
We implement Density Functional Theory, as introduced in this page. A review of its theoretical background is offered in the references listed here.
We support Machine Learning techniques in order to predict new material properties based upon previously calculated sets of properties. Our support for Machine Learning is introduced in this section of the documentation.