A computationally efficient quasi-harmonic study of ice polymorphs using the FFLUX force field
{{output}}
FFLUX is a multipolar machine-learned force field that uses Gaussian process regression models trained on data from quantum chemical topology calculations. It offers an efficient way of predicting both lattice and free energies of polymorphs, allowing their st... ...
