Hierarchical Lattice Models of Hydrogen Bond Networks in Water
Rahul Dandekar, Ali A. Hassanali

TL;DR
This paper introduces a graph-based, hierarchical lattice model of water's hydrogen bond network that aligns with atomistic simulation results, revealing structural correlations and anomalies similar to real water.
Contribution
It presents a bottom-up lattice model of water's hydrogen bonds that captures key structural and thermodynamic properties consistent with atomistic simulations.
Findings
Model predicts long-range orientational correlations.
Reproduces density and compressibility anomalies.
Phase diagram aligns with singularity-free water scenario.
Abstract
We develop a graph-based model of the hydrogen bond network in water, with a view towards quantitatively modeling the molecular-level correlational structure of the network. The networks are formed are studied by the constructing the model on two infinite-dimensional lattices. Our models are built \emph{bottom up}, based on microscopic information coming from atomistic simulations, and we show that the predictions of the model are consistent with known results from ab-initio simulations of liquid water. We show that simple entropic models can predict the correlations and clustering of local-coordination defects around tetrahedral waters observed in the atomistic simulations. We also find that orientational correlations between bonds are longer ranged than density correlations, and determine the directional correlations within closed loops and show that the patterns of water wires within…
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