Cited by 15Advanced Chemical Physics StudiesGraphene research and applicationsAdsorption, diffusion, and thermodynamic properties of materials

CO 2 on Graphene: Benchmarking Computational Approaches to Noncovalent Interactions

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Ehlert, Christopher, Piras, Anna, Gryn’ova, Ganna·2023·ACS Omega

Published version of a preprint

Abstract

Designing and optimising graphene-based gas sensors in silico entails constructing appropriate atomistic representations for the physisorption complex of an analyte on an infinite graphene sheet, then selecting accurate yet affordable methods for geometry optimisations and energy computations. In this work, diverse density functionals (DFs), coupled cluster theory, and symmetry-adapted perturbation theory (SAPT) in conjunction with a range of finite and periodic surface models of bare and supported graphene were tested for their ability to reproduce experimental adsorption energies of CO2 on graphene in a low-coverage regime. Periodic results are accurately reproduced by the interaction energies extrapolated from finite clusters to infinity. This simple yet powerful scheme effectively removes size dependence from the data obtained using finite models, and the latter can be treated at more sophisticated levels of theory relative to periodic systems. While for small models inexpensive DFs such as PBE afford surprisingly good agreement with the gold standard of quantum chemistry, CCSD(T), interaction energies closest to experiment are obtained by extrapolating the SAPT results, and with non-local van der Waals functionals in the periodic setting. Finally, none of the methods and models reproduce the experimentally observed CO2 tilted adsorption geometry on Pt(111) support, calling for either even more elaborate theoretical approaches, or a revision of the experiment.

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Research works printed but not linked: 2

  1. Takeuchi K.; Yamamoto S.; Hamamoto Y.; Shiozawa Y.; Tashima K.; Fukidome H.; Koitaya T.; Mukai K.; Yoshimoto S.; Suemitsu M.; et al. Adsorption of CO2 on Graphene: a Combined TPD, XPS, and vdW-DF Study. J. Phys. Chem. C 2017, 121, 2807– 2814. 10.1021/acs.jpcc.6b11373. · DOI · Paper page
  2. Aroyo M. I.; Perez-Mato J. M.; Orobengoa D.; Tasci E.; de la Flor G.; Kirov A. Crystallography online: Bilbao Crystallographic Server. Bulg. Chem. Commun. 2011, 43, 183– 197.

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Authors
Ehlert, C., Piras, A., & Gryn’ova, G.
Affiliations
Heidelberg University (DE)
Corresponding author
  • Ehlert, Christopher
  • Gryn’ova, Ganna
Venue
ACS Omega
Published
2023-09-20
Volume
8
Issue
39
Pages
35768-35778
ISSN
2470-1343 (ISSN-L)
OpenAlex
W4386884640
Cited by
15
References
63
Citations by year
2026: 6 · 2025: 6 · 2024: 1 · 2023: 2
FWCI
1.74
Type
journal article
Language
en
Open access
Locations
  • ACS Omega (publishedVersion, cc-by-nc-nd)
  • ChemRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Klaus Tschira Stiftung
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
  • Physical Sciences › Materials Science › Materials Chemistry › Graphene research and applications
  • Physical Sciences › Chemistry › Spectroscopy › Adsorption, diffusion, and thermodynamic properties of materials
Keywords
CO2 adsorption, graphene, non-covalent interactions, adsorption energy, density functionals, coupled-cluster theory, symmetry-adapted perturbation theory, size effect, gas sensors, benchmarking

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