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CO2Methanation on Cu-Cluster Decorated Zirconia Supports with Different Morphology: A Combined Experimental in Situ GIXANES/GISAXS, Ex Situ XPS and Theoretical DFT Study

  • Avik Halder
  • , Cristina Lenardi
  • , Janis Timoshenko
  • , Antonija Mravak
  • , Bing Yang
  • , Lakshmi K. Kolipaka
  • , Claudio Piazzoni
  • , Sönke Seifert
  • , Vlasta Bonačić-Koutecký
  • , Anatoly I. Frenkel
  • , Paolo Milani
  • , Stefan Vajda
  • Argonne National Laboratory
  • University of Milan
  • Stony Brook University
  • University of Split
  • Humboldt University of Berlin
  • Czech Academy of Sciences

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Subnanometer copper tetramer-zirconia catalysts turn out to be highly efficient for CO2 hydrogenation and its conversion to methane. The cluster size and substrate morphology are controlled to optimize the catalytic performance. The two types of zirconia supports investigated are prepared by atomic layer deposition (∼3 nm thick film) and supersonic cluster beam deposition (nanostructured film, ∼100 nm thick). The substrate plays a crucial role in determining the activity of the catalyst as well as its cyclability over repeated thermal ramps. A temperature-programmed reaction combined with in situ X-ray characterization reveals the correlation between the evolution in the oxidation state and catalytic activity. Ex situ photoelectron spectroscopy indicates Cu clusters with stronger interactions with the nanostructured film, which can be the cause for the higher activity of this catalyst. Density functional theory calculations based on the Cu4O2 cluster supported on a ZrOx subunit reveal low activation barriers and provide mechanism for CO2 hydrogenation and its conversion to methane. Altogether, the results show a new way to tune the catalytic activity of CO2 hydrogenation catalysts through controlling the morphology of the support at the nanoscale.

Original languageEnglish
Pages (from-to)6210-6224
Number of pages15
JournalACS Catalysis
Volume11
Issue number10
DOIs
StatePublished - May 21 2021

Keywords

  • COconversion
  • copper cluster
  • DFT
  • GISAXS
  • reaction mechanism
  • support effect
  • XANES
  • XPS

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