  The relationship between excess entropy and diffusion is revisited by means
of large-scale computer simulation combined to supervised learning approach to
determine the excess entropy for the Lennard-Jones potential. Results reveal
that it finds its roots in the properties of the potential energy landscape
(PEL). In particular the exponential law holding in the liquid is seen to be
correlated with the landscape-influenced regime of the PEL while the fluid-like
power-law corresponds to the free diffusion regime.
