Why different water models predict different structures under 2D confinement
Dix, James and Lue, Leo and Carbone, Paola (2018) Why different water models predict different structures under 2D confinement. Journal of Computational Chemistry, 39 (25). pp. 2051-2059. ISSN 0192-8651 (https://doi.org/10.1002/jcc.25369)
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Abstract
Experiments of nanoconfined water between graphene sheets at high pressure suggest that it forms a square ice structure (G. Algara-Siller, et al. Nature, 519 (2015) 443). Molecular dynamics (MD) simulations have been used to attempt to recreate this structure, but there have been discrepancies in the structure formed by the confined water depending on the simulation set-up that was employed and particularly on the choice of water model. Here, using classical molecular dynamics simulations, we have systematically investigated the effect that three different water models (SPC/E, TIP4P/2005 and TIP5P) have on the structure of water confined between two rigid graphene sheets with a 0.9 nm separation. We show that the TIP4P/2005 and the TIP5P water models form a hexagonal AA-stacked structure, whereas the SPC/E model forms a rhombic AB-stacked structure. Our work demonstrates that the formation of these structures is driven by differences in the strength of hydrogen bonds predicted by the three water models, and that the nature of the graphene/water interaction only mildly affects the phase diagram. Considering the available experimental data and first-principle simulations we conclude that, among the models tested, the TIP4P/2005 and TIP5P force fields are for now the most reliable when simulating water under confinement.
ORCID iDs
Dix, James, Lue, Leo ORCID: https://orcid.org/0000-0002-4826-5337 and Carbone, Paola;-
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Item type: Article ID code: 64026 Dates: DateEvent29 October 2018Published18 September 2018Published Online11 May 2018AcceptedNotes: This is the pre-peer reviewed version of the following article: Dix, J., Lue, L., & Carbone, P. (2018). Why different water models predict different structures under 2D confinement. Journal of Computational Chemistry , 39(25), 2051-2059., which has been published in final form at https://doi.org/10.1002/jcc.25369. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions Subjects: Technology > Chemical engineering Department: Faculty of Engineering > Chemical and Process Engineering
Strategic Research Themes > Society and PolicyDepositing user: Pure Administrator Date deposited: 14 May 2018 09:31 Last modified: 11 Nov 2024 11:59 URI: https://strathprints.strath.ac.uk/id/eprint/64026