Downloads provided by UsageCounts
This dataset contains input and output files for simulations of the oxidation of a set of shape-selected, 3 nm platinum nanoparticles associated with the manuscript found at https://arxiv.org/abs/2201.07605. The simulations are performed using a grand-canonical Monte-Carlo algorithm[1,2] in combination with the ReaxFF reactive force field method as implemented in the Amsterdam Density Functional (ADF) software package version 2017.106 by Software for Chemistry and Materials (SCM). The Pt/O ReaxFF force field parameterized by Fantauzzi et al. was used for the simulations.[3] Simulations were performed at oxygen chemical potential conditions corresponding to 200-1000 K at ultra-high vacuum (UHV, pO2 = 10-10 mbar) and 400-1200 K at near-ambient pressure (NAP, pO2 = 1 mbar) conditions. The following nanoparticle shapes were used as input structures for the simulations: (111)-indexed octahedron, (100)-indexed cube, (110)-indexed dodecahedron, (111)- and (100)-indexed cuboctahedron, mixed-indexed sphere, and (730)-indexed tetrahexahedron. The folder structure is as follows: Particle shape -> pressure condition -> temperature condition -> simulation input and output files The simulation input and output files are of the following filetypes: control: Input parameters for the ReaxFF software. control_MC: Input parameters for the GCMC subroutine that interacts with the ReaxFF software. geo: Atomic input coordinates in BGF file format. geo_MCXXXXXX: Atomic output coordinates in BGF file format and ReaxFF total energy result for GCMC step XXXXXX. Simulations were performed for a total of 25,000 iterations. Only accepted GCMC steps result in the creation of a geo_XXXXXX output file. Therefore, the index XXXXXX is not continuous since output files are not written at every iteration. Other ReaxFF-specific output has been filtered in order to declutter the dataset. [1] T. P. Senftle, R. J. Meyer, M. J. Janik, A. C. T. van Duin, J. Chem. Phys. 2013, 139, 044109. [2] T. P. Senftle, M. J. Janik, A. C. T. van Duin, J. Phys. Chem. C 2014, 118, 4967–4981. [3] D. Fantauzzi, J. Bandlow, L. Sabo, J. E. Mueller, A. C. T. van Duin, T. Jacob, Phys. Chem. Chem. Phys. 2014, 16, 23118–23133.
This work was supported by Deutsche Forschungsgemeinschaft (DFG) through the collaborative research center SFB-1316 as well as the priority program SPP-2080. The state of Baden-Württemberg is acknowledged through bwHCP and DFT through grant no INST 37/935-1 FUGG. The Volkswagen Group Wolfsburg is acknowledged for partial funding, as well as the Icelandic Research Fund. BK acknowledges the University of Iceland Research Fund for funding through a PhD fellowship.
oxidation, monte carlo, nanoparticles, platinum, fuel cells, material modeling
oxidation, monte carlo, nanoparticles, platinum, fuel cells, material modeling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 48 | |
| downloads | 15 |

Views provided by UsageCounts
Downloads provided by UsageCounts