False Metallization in Short-Ranged Machine Learned Interatomic Potentials
This paper demonstrates that short-ranged machine learned interatomic potentials (MLIPs) fail to capture long-ranged electrostatic interactions, leading to unphysical "false metallization" in polar solvents like water, a flaw that is resolved only by explicitly including long-range electrostatics.