Off-stoichiometric Restructuring and Sliding Dynamics of Hexagonal Boron Nitride Edges in Conditions of Oxidative Dehydrogenation of Propane

04 May 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Boron-containing materials such as hexagonal boron nitride, recently shown to be active and selective catalysts for the oxidative dehydrogenation of propane (ODHP), have been shown to undergo significant surface oxyfunctionalization and restructuring. Although experimental ex situ studies have probed the change in chemical environment on the surface, the structural evolution of it under varying reaction conditions has not been established. Herein we perform global optimization structural search with grand canonical genetic algorithm to explore the chemical space of off-stoichiometric restructuring of hexagonal boron nitride (hBN) surface under ambient as well as ODHP relevant reaction conditions. A grand canonical ensemble representation of the surface is established, and the predicted 11B solid-state NMR spectra are consistent with previous experimental reports. In addition, we investigated the relative sliding of hBN sheets and how it affects the surface chemistry with ab initio molecular dynamics simulations. The B-O linkages on the edges are found to be significantly strained during the sliding, causing the metastable sliding configurations to have higher reactivity towards activation of propane and water.

Keywords

Boron
Catalysts
Phase diagrams
Oxidative dehydrogenation of propane
Grand canonical global optimization

Supplementary materials

Title
Description
Actions
Title
Supporting Information for Off-stoichiometric Restructuring and Sliding Dynamics of Hexagonal Boron Nitride Edges in Conditions of Oxidative Dehydrogenation of Propane
Description
Model set-up and computational workflow; Benchmarking of 11B chemical shift calculation; Surface phase diagram of h-BN zigzag edge; Geometries of mentioned accessible surface phases; Ensemble-based simulation of 11B SSNMR spectra for h-BN zigzag edge; Statistics of key geometric and electronic properties from AIMD simulation; Importance of the top features in the trained random forest models; Note on choice of chemical potentials for the GCGA searches; Note on ML descriptors
Actions
Title
Database of all surface phases discovered by GCGA samplings
Description
ASE database format. Energies and other properties are in the metadata of each entry.
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