Understanding solid nitrogen through machine learning simulation

Marcin Kirsz, Ciprian G. Pruteanu, Peter I. C. Cooke +1

We construct a fast, transferable, general purpose, machine-learning interatomic potential suitable for large-scale simulations of $N_2$. The potential is trained only on high qual…