Published March 2, 2022 | Version v1
Dataset Open

Supporting data set for: Simulations of the Electrochemical Oxidation of Shape-Selected Nanoparticle Catalysts

  • 1. Ulm University
  • 2. Ulm University, Helmholtz-Institute Ulm, Karlsruhe Institute of Technology
  • 3. University of Iceland
  • 1. Ulm University
  • 2. Ulm University, Helmholtz-Institute Ulm, Karlsruhe Institute of Technology
  • 3. University of Iceland

Description

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.

Notes

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.

Files

cube-(100)-3nm.zip

Files (13.5 GB)

Name Size Download all
md5:2da898e724f77537ec74bcbad727dde8
2.0 GB Preview Download
md5:24abbb0499f6d2cfdabf0ac2f0af5fd4
2.7 GB Preview Download
md5:80851475575b24a2ad73a7c68d14263b
2.3 GB Preview Download
md5:64eecf345c53f3fd3887b983d598472a
1.7 GB Preview Download
md5:a21026c33ea24f6cfd152fefb48ac02c
2.6 GB Preview Download
md5:3959d6b8f44cef6af8b9e00de8a5a497
2.3 GB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1021/acs.jpcc.2c00472 (DOI)
Preprint: https://arxiv.org/abs/2201.07605 (URL)