The first-principles phase diagram of monolayer nanoconfined water

Abstract

Water in nanoscale cavities is ubiquitous and of central importance to everyday phenomena in geology and biology. However, the properties of nanoscale water can be remarkably different from bulk, as shown e.g., by the anomalously low dielectric constant of water in nanochannels [1], near frictionless water flow [2], or the possible existence of a square ice phase [3]. Such properties suggest that nanoconfined water could be engineered for technological applications in nanouidics [4], electrolyte materials [5], and water desalination [6]. Unfortunately, challenges in experimentally characterising water on the nanoscale and the high cost of first-principles simulations have prevented the molecular level understanding required to control the behavior of water. Here we combine a range of computational approaches to enable a first-principles level investigation of a single layer of water within a graphene-like channel. We find that monolayer water exhibits surprisingly rich and diverse phase behavior that is highly sensitive to temperature and the van der Waals pressure acting within the nanochannel. In addition to multiple molecular phases with melting temperatures varying non-monotonically by over 400 degrees with pressure, we predict a hexatic phase, which is an intermediate between a solid and a liquid, and a superionic phase with a high electrical conductivity exceeding that of battery materials. Notably, this suggests that nanoconfinement could be a promising route towards superionic behavior at easily accessible conditions.

33 pages, 8 figures

References in corpus (9)

• Van der Waals bonding in layered compounds from advanced first-principles calculations
• Square ice in graphene nanocapillaries
• Continuum variational and diffusion quantum Monte Carlo calculations
• Fluctuation-induced quantum friction in nanoscale water flows
• A complete description of thermodynamic stabilities of molecular crystals
• Evidence for Stable Square Ice from Quantum Monte Carlo
• Topological quantisation and gauge invariance of charge transport in liquid insulators
• Machine learning potentials for complex aqueous systems made simple
• Structural and dynamical properties of nanoconfined supercooled water

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