CrySPR: A Python interface for implementation of crystal structure pre-relaxation and prediction using machine-learning interatomic potentials

The functional properties of crystalline inorganic materials in a variety of applications including, but not limited to, catalysts, batteries, solar cells, electronics, fundamentally depend on their crystal structures. Discovery of novel materials could be transformative for these fields. In the past few decades, the computational science community has developed crystal... Show more