Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations

Viktor Zaverkin, Matheus Ferraz, Francesco Alesiani +1

Universal machine-learned potentials promise transferable accuracy across compositional and vibrational degrees of freedom, yet their application to biomolecular simulations remain…