4.6 Article

Water Interactions with Nanoporous Silica: Comparison of ReaxFF and ab lnitio based Molecular Dynamics Simulations

Journal

JOURNAL OF PHYSICAL CHEMISTRY C
Volume 120, Issue 43, Pages 24803-24816

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.6b07939

Keywords

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Funding

  1. US Department of Energy (DOE) Nuclear Energy University Project [13-5494]
  2. National Science Foundation (NSF) DMR Ceramics Program [1508001]
  3. National Science Foundation Graduate Research Fellowship Program [DGE-114248]
  4. Division Of Materials Research
  5. Direct For Mathematical & Physical Scien [1508001] Funding Source: National Science Foundation

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Detailed understanding of the reactions and processes which govern silicatewater interactions is critical to geological, materials, and environmental sciences. Interactions between water and nanoporous silica were studied using classical molecular dynamics with a Reactive Force Field (ReaxFF), and the results were compared with density functional theory (DFT) based ab initio molecular dynamics (AIMD) simulations. Two versions of ReaxFF Si/O/H parametrizations (Yeon et al. J. Phys. Chem. C 2016, 120, 305 and Fogarty et al. J. Chem. Phys. 2010, 132, 174704) were compared with AIMD results to identify differences in local structures, water dissociation mechanisms, energy barriers, and diffusion behaviors. Results identified reaction mechanisms consisting of two different intermediate structures involved in the removal of high energy two-membered ring (2-Ring) defects on complex nanoporous silica surfaces. Intermediate defects lifetimes affect hydroxylation and 2-Ring defect removal. Additionally, the limited internal volume of the nanoporous silica results in decreased water diffusion related to the development of nanoconfined water. Hydrogen atoms in the water diffused 1030% faster than the oxygen atoms, suggesting that increased hydrogen diffusion through hydrogen hopping mechanisms may be enhanced in nanoconfined conditions. Comparison of the two different ReaxFF parametrizations with AIMD data indicated that the Yeon et al. parameters resulted in reaction mechanisms, hydroxylation rates, defect concentrations, and activation energies more consistent with the AIMD simulations. Therefore, this ReaxFF parametrization is recommended for future studies of watersilica systems with high concentrations of surface defects and highly strained siloxane bonds such as in complex silica nanostructures.

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