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Ab initio calculations of the chemisorption of atomic H and O on Pt and Ir metal and on bimetallic Pt x Ir y surfaces

  • Tobias Wittemann ORCID logo EMAIL logo , Halil İbrahim Sözen ORCID logo , Mehtap Oezaslan ORCID logo and Thorsten Klüner ORCID logo
Published/Copyright: April 5, 2024
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Abstract

Understanding the chemisorption of atoms on precious metal surfaces is of substantial interest for the rational design of heterogeneous and electrochemical catalysts. In this study, we report density functional theory (DFT) investigations of the chemisorption of atomic H and O on bimetallic Pt x Ir y (111) surfaces for bifunctional anode catalyst materials in polymer electrolyte membrane (PEM) fuel cells. We found that for both adsorbates, the adsorption on the Pt(111) surface is in general less exothermic than on the Ir(111) surface. Our study has revealed that chemisorption on the bimetallic surfaces becomes more stable with increasing number of Ir surface atoms at the adsorption site. While for hydrogen atoms the ONTOP sites yield the most negative adsorption energies, the chemisorption of oxygen atoms appears to be most stable on the FCC sites for both the mono- and bimetallic surfaces. Using the ab initio thermodynamics approach, we calculated phase diagrams for the chemisorption of H and O atoms on these metal surfaces in order to transfer our findings to finite temperature and pressure conditions. Our theoretical results may provide an improved understanding of the hydrogen oxidation reaction (HOR) and oxygen evolution reaction (OER) on intermetallic Pt x Ir y (111) surfaces and may be helpful for the rational design of new bifunctional PEM fuel cell anode catalyst materials.


Corresponding author: Tobias Wittemann, Department of Chemistry, Carl von Ossietzky University of Oldenburg, Carl-von-Ossietzky-Straße 9–11, 26129 Oldenburg, Germany, E-mail:
Dedicated to Professor Thomas Bredow of the University of Bonn on the occasion of his 60th birthday.

Funding source: German Federal Ministry of Education and Research

Award Identifier / Grant number: 03SF0617B

Funding source: German Federal Ministry of Education and Research

Award Identifier / Grant number: 03SF0617A

Funding source: German Research Foundation (DFG)

Award Identifier / Grant number: INST 184/157-1 FUGG

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: We thank the BMBF for financial support via the joint projects ECatPEMFCplus/03SF0617B and 03SF0617A. The simulations were performed at the HPC Cluster CARL, located at the University of Oldenburg (Germany) and funded by the DFG through its Major Research Instrumentation Programme (INST 184/157-1 FUGG) and the Ministry of Science and Culture (MWK) of the State of Lower Saxony.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/znb-2023-0087).


Received: 2023-09-29
Accepted: 2023-10-31
Published Online: 2024-04-05
Published in Print: 2024-04-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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