  Non-Gaussian displacement distributions are universal predictors of dynamic
heterogeneity in slowly varying environments. Here, we explore heterogeneous
dynamics in supercooled liquid using molecular dynamics simulations and show
the efficiency of the information-theoretic measure in quantifying dynamic
heterogeneity over the widely used moment-based quantifications of
nonGaussianity. Our analysis shows that the heterogeneity quantified by the
negentropy is significantly different from the one obtained using the
conventional approach that considers deviation from Gaussianity up to
lower-order moments. Further, we extract the timescales of dynamic
heterogeneity using the two methods and show that the differential changes
diverge as the system experiences strong intermittency near the glass
transition.
