Experimental
data suggest that the solubility of copper in high-temperature
water vapor is controlled by the formation of hydrated clusters of
the form CuCl(H2O)
n
, where
the average number of water molecules in the cluster generally increases
with increasing density [Migdisov, A. A.; et al. Geochim.
Cosmochim. Acta
2014, 129,
33–53]. However, the precise nature of these clusters is difficult
to probe experimentally. Moreover, there are some discrepancies between
experimental estimates of average cluster size and prior simulation
work [Mei, Y. Geofluids
2018, 2018, 4279124]. We have performed first-principles Monte
Carlo (MC) and molecular dynamics (MD) simulations to explore these
clusters in finer detail. We find that molecular dynamics is not the
most appropriate technique for studying aggregation in vapor phases,
even at relatively high temperatures. Specifically, our MD simulations
exhibit substantial problems in adequately sampling the equilibrium
cluster size distribution. In contrast, MC simulations with specialized
cluster moves are able to accurately sample the phase space of hydrogen-bonding
vapors. At all densities, we find a stable, slightly distorted linear
H2O–Cu–Cl structure, which is in agreement
with the earlier simulations, surrounded by a variable number of water
molecules. The surrounding water molecules do not form a well-defined
second solvation shell but rather a loose network of hydrogen-bonded
water with molecular CuCl on the outside edge of the water cluster.
We also find a broad distribution of hydration numbers, especially
at higher densities. In contrast to previous simulation work but in
agreement with experimental data, we find that the average hydration
number substantially increases with increasing density. Moreover,
the value of the hydration number depends on the choice of cluster
definition.