Abstract
Understanding the structure and reactivity of quartz-water interfaces is critical for numerous applications in the geological, environmental, and biological sciences. However, disagreements on the atomic-level structure of the interfaces between experiments and simulations are hampering our ability to predict the surface reactivity. Here, we used density functional tight-binding (DFTB)-based molecular dynamics to simulate a series of quartz (101) surfaces having different types and densities of surface defects in water and compared them with the structures determined by X-ray reflectivity measurements. The DFTB simulations are able to reproduce previous classical and quantum mechanical predictions of the pristine quartz (101)-water interface that disagree with experimental observations. To remedy this situation, a set of defective quartz surfaces having various surface silicon (Si) vacancies were built as indicated by recent experimental studies. We found that the rotation of surface [SiO4] tetrahedra near Si vacancies can lead to outward displacements of Si atoms similar to those observed in the experiments. The presence of additional surface Si vacancies caused inward relaxations of terminal oxygens through the formation of hydrogen bonds. The overall results indicate that the quartz (101)-water interface may include a mixture of geminal (Si-(OH)2)- and vicinal (Si-OH)-type silanol groups together with the presence of surface Si vacancies.
Original language | English |
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Pages (from-to) | 16246-16255 |
Number of pages | 10 |
Journal | Journal of Physical Chemistry C |
Volume | 125 |
Issue number | 29 |
DOIs | |
State | Published - Jul 29 2021 |
Funding
This work is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The authors thank the helpful discussions and comments provided by Dr. Sang Soo Lee from Argonne National Laboratory.
Funders | Funder number |
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CADES | DE-AC05-00OR22725 |
Data Environment for Science | |
U.S. Department of Energy | DE-AC02-05CH11231 |
Office of Science | |
Basic Energy Sciences | |
Chemical Sciences, Geosciences, and Biosciences Division |