AQCat25: Unlocking spin-aware, high-fidelity machine learning potentials for heterogeneous catalysis

Omar Allam, Brook Wander, SungYeon Kim +16

Large-scale datasets have enabled highly accurate machine learning interatomic potentials (MLIPs) for general-purpose heterogeneous catalysis modeling. There are, however, some lim…