Self-regenerative noble metal catalysts supported on high-entropy oxides

  • Hao Chen
  • , Yifan Sun
  • , Shize Yang
  • , Hui Wang
  • , Wojciech Dmowski
  • , Takeshi Egami
  • , Sheng Dai

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Discovery of anti-sintering noble metal catalysts is challenging, as supported noble metal species tend to aggregate at high temperatures, leading to severely deteriorated catalytic performances. Here we show that 1 wt% of noble metal species including Au, Pd and Ru can be incorporated into high-entropy oxides (HEOs) through entropy stabilization at 900 °C in air. A reversible temperature-dependent dissolution-exsolution process is observed for Au-HEO. Further correlation with distinct CO oxidation capabilities demonstrates the potential to utilize the entropy effect to access self-regenerative catalysts for catalytic reactions.

Original languageEnglish
Pages (from-to)15056-15059
Number of pages4
JournalChemical Communications
Volume56
Issue number95
DOIs
StatePublished - Dec 11 2020

Funding

This research was supported by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, Catalysis Science program. This research used resources of the Center for Functional Nanomaterials, which is a U. S. DOE Office of Science Facility, at Brookhaven National Laboratory under Contract No. DE-SC0012704. The high-energy X-ray diffraction work by H. W., W. D. and T. E. was supported by the U. S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. This research also used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. We thank Douglas Robinson for the assistance in the synchrotron X-ray experiment, and Harry M. Meyer III for XPS acquisition and analysis.

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