2019
DOI: 10.1021/acs.jpcc.9b02394
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Statistical Analysis of Tri-Cresyl Phosphate Conversion on an Iron Oxide Surface Using Reactive Molecular Dynamics Simulations

Abstract: Parallel reactive molecular dynamics simulations were used to statistically analyze chemical reactions between tri-cresyl phosphate (TCP) and an amorphous iron oxide surface. To accurately model this system, a new parameter set for Fe/P/O interactions within the ReaxFF framework was developed. Using the new parameter set, 100 parallel simulations of a single TCP molecule on an amorphous iron oxide surface were run to capture multiple possible reactions at temperatures ranging from 300 to 700 K. The frequency o… Show more

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Cited by 32 publications
(106 citation statements)
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“…51 Velocity Verlet integration was used with a time step of 0.25 fs. 36 The bottom atomic layer of the substrate was frozen, and periodic boundary conditions were applied in the x and y directions. The temperature was controlled using a Nosé-Hoover thermostat 52,53 with a damping parameter of 25 fs, which was applied to all non-frozen atoms.…”
Section: Simulation Detailsmentioning
confidence: 99%
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“…51 Velocity Verlet integration was used with a time step of 0.25 fs. 36 The bottom atomic layer of the substrate was frozen, and periodic boundary conditions were applied in the x and y directions. The temperature was controlled using a Nosé-Hoover thermostat 52,53 with a damping parameter of 25 fs, which was applied to all non-frozen atoms.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…All of the MD simulations used the same ReaxFF parameters for C/H/O/Fe/P interactions as were employed by Khajeh et al 36 ReaxFF is a bond order-based force field that was originally developed by van Duin et al 33 to study the dissociation and reactions of small hydrocarbon molecules. The version of ReaxFF implemented in LAMMPS uses the functional form which was outlined by Chenoweth et al 54 and was fully described by Aktulga et al 55 The general form of ReaxFF is given by: 35…”
Section: Force Fieldmentioning
confidence: 99%
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