VPT2 Calculations of Vibrational Energies of CH3COOC6H4COOH Done in Seconds on a Laptop Using a Machine Learned Potential
This paper introduces efficient Fortran and Python software that utilizes machine-learned potentials to rapidly compute quartic force fields and perform quantum anharmonic VPT2 vibrational energy calculations for large molecules like aspirin, overcoming the prohibitive computational costs of traditional high-level electronic structure methods.