Strain Effects on the Adsorption of Water on Cerium Dioxide Surfaces and Nanoparticles: A Modeling Outlook

Sidra Munir, Khoa Minh Ta, Thomas Smith, Lisa J. Gillie, David J. Cooke, Steve Parker, Marco Molinari

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

Nanocrystalline ceria exhibits significant redox activity and oxygen storage capacity. Any factor affecting its morphology can tune such activities. Strain is a promising method for controlling particle morphology, whether as core@shell structures, supported nanoparticles, or nanograins in nanocrystalline ceria. A key challenge is to define routes of controlling strain to enhance the expression of more active morphologies and to maintain their shape during the lifespan of the particle. Here, we demonstrate a computational route to gain insights into the strain effects on particle morphology. We use density functional theory to predict surface composition and particle morphology of strained ceria surfaces, as a function of environmental conditions of temperature and partial pressure of water. We find that adsorbed molecular water is not sufficient to shift stability and as such under all compressive and tensile strains studied, the most stable particle is of octahedral shape, similarly to the unstrained case. When dissociative water is involved at the surfaces of the particle, then the most stable particle morphology changes under high water coverage and tensile strain to cuboidal or truncated cuboidal shapes. This shift in shape is due to strain effects that affect the strength of water adsorption.
Original languageEnglish
Pages (from-to)18451-18464
Number of pages14
JournalJournal of Physical Chemistry C
Volume128
Issue number43
Early online date17 Oct 2024
DOIs
Publication statusPublished - 31 Oct 2024

Data Availability Statement

Raw data are available at https://doi.org/10.17632/3hwx68h2ny.

Funding

Calculations were run on the ARCHER2 UK National Supercomputing Services via our membership of the UK HEC Materials Chemistry Consortium (HEC MCC) funded by the EPSRC (EP/R029431/1, EP/X035859/1). Analysis was performed on the Orion computing facility and the Violeta HPC at the University of Huddersfield. K.M.T. is funded via the Vice Chancellor’s Scholarship Scheme at the University of Huddersfield. T.S. is funded by EPSRC-DTP 2018-19 University of Huddersfield (EP/R513234/1).

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