Composition-dependent morphologies of CeO2 nanoparticles in the presence of Co-adsorbed H2O and CO2: a density functional theory study

Samuel Moxon, Adam R. Symington, Joshua S. Tse, Joseph M. Flitcroft, Jonathan M. Skelton, Lisa J. Gillie, David J. Cooke, Stephen C. Parker, Marco Molinari

Research output: Contribution to journalArticlepeer-review

6 Citations (SciVal)

Abstract

Catalytic activity is affected by surface morphology, and specific surfaces display greater activity than others. A key challenge is to define synthetic strategies to enhance the expression of more active surfaces and to maintain their stability during the lifespan of the catalyst. In this work, we outline an ab initio approach, based on density functional theory, to predict surface composition and particle morphology as a function of environmental conditions, and we apply this to CeO2 nanoparticles in the presence of co-adsorbed H2O and CO2 as an industrially relevant test case. We find that dissociative adsorption of both molecules is generally the most favourable, and that the presence of H2O can stabilise co-adsorbed CO2. We show that changes in adsorption strength with temperature and adsorbate partial pressure lead to significant changes in surface stability, and in particular that co-adsorption of H2O and CO2 stabilizes the {100} and {110} surfaces over the {111} surface. Based on the changes in surface free energy induced by the adsorbed species, we predict that cuboidal nanoparticles are favoured in the presence of co-adsorbed H2O and CO2, suggesting that cuboidal particles should experience a lower thermodynamic driving force to reconstruct and thus be more stable as catalysts for processes involving these species.

Original languageEnglish
Pages (from-to)11232-11249
Number of pages18
JournalNanoscale
Volume16
Issue number23
Early online date16 May 2024
DOIs
Publication statusPublished - 21 Jun 2024

Data Availability Statement

Raw data related to this research are available at https://doi.org/10.17632/9hd54s429t

Funding

We acknowledge the University of Huddersfield (UoH) EPSRC-DTP competition 2018\u201319 (EP/R513234/1) for funding SM. JMS is grateful to UK Research and Innovation (UKRI) for the award of a Future Leaders Fellowship (MR/T043121/1), and to the University of Manchester (UoM) for the previous support of a UoM Presidential Fellowship. Calculations were run on the ARCHER and ARCHER2 UK National Supercomputing Services via our membership of the UK HEC Materials Chemistry Consortium (MCC; EPSRC EP/L000202/1, EP/R029431/1, EP/X035859/1). Analysis was performed on the Orion and Violeta computing facilities at UoH.

FundersFunder number
University of Manchester
University of HuddersfieldEP/R513234/1
University of Huddersfield
UK Research and InnovationMR/T043121/1
UK Research and Innovation

    ASJC Scopus subject areas

    • General Materials Science

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