Using Machine Learning Hamiltonians To Compute Molecular Motor Barrier Heights

Aaron Philip, Guoqing Zhou, Benjamin Nebgen

Machine Learning Inter-atomic Potentials (MLIPs) have become a common tool in use by computational chemists due to their combination of accuracy and speed. Yet, it is still not cle…