Better without U: Impact of Selective Hubbard U Correction on Foundational MLIPs

Thomas Warford, Fabian L. Thiemann, Gábor Csányi

The training of foundational machine learning interatomic potentials (fMLIPs) relies on diverse databases with energies and forces calculated using ab initio methods. We show that…