This computational case study explores dielectric anisotropy in hexagonal ice, highlighting how hydrogen-bond networks influence properties.
The dielectric properties of disordered crystalline materials are governed by long-range orientational correlations arising from local structural disorder. We present a statistical and topological framework that connects hydrogen-bond network features to macroscopic dielectric anisotropy. Using hexagonal ice as a model system, we represent the network as a directed graph and employ the polarization index, originally introduced in the GenIce software, to measure the net traversal of percolating hydrogen-bond chains through the periodic lattice. Effective bond dipole moments, determined from moderately sized simulation cells, are combined with the variance of the polarization index to predict dielectric constants for much larger cells without additional computations on three-dimensional structures. We validate this Polarization Index–Bond Dipole (PIBD) model using the AMOEBA14 and neural network potentials, with and without nuclear quantum effects. The results agree with the estimates of the traditional Total Dipole Fluctuation (TBF) model but exhibit improved convergence and reduced computational cost. Our findings establish a generalizable method for quantifying dielectric response in disordered crystals and may offer insights into the dielectric behavior of partially ordered systems such as hybrid perovskites and solid-state proton conductors.
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Nafe et al. (2025) studied this question.
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