4.8 Article

Atomic Reconstruction and Oxygen Evolution Reaction of Mn3O4 Nanoparticles

期刊

JOURNAL OF PHYSICAL CHEMISTRY LETTERS
卷 13, 期 35, 页码 8336-8343

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpclett.2c01638

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资金

  1. Korean government through the National Research Foundation [2022R1A2C3007807, 2022R1A2C1005505, 2022R1F1A1072330, 2022R1C1C1010157]
  2. National Center for Inter-University Research Facilities (NCIRF) at Seoul National University in Korea
  3. National Research Foundation of Korea [2022R1F1A1072330, 2022R1C1C1010157, 2022R1A2C1005505, 2022R1A2C3007807] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Understanding the chemical states and arrangements of individual surface atoms is crucial for addressing current issues such as catalysis, energy storage/conversion, and environmental protection. In this study, a profile imaging technique was used to investigate the correlation between surface atomic structures and the oxygen evolution reaction (OER) in Mn3O4 nanoparticles. It was found that surface reconstructions can deactivate low-index surfaces of Mn oxides in OER.
Understanding the chemical states of individual surface atoms and their arrangements is essential for addressing several current issues such as catalysis, energy stroage/conversion, and environmental protection. Here, we exploit a profile imaging technique to understand the correlation between surface atomic structures and the oxygen evolution reaction (OER) in Mn3O4 nanoparticles. We image surface structures of Mn3O4 nanoparticles and observe surface reconstructions in the (110) and (101) planes. Mn3+ ions at the surface, which are commonly considered as the active sites in OER, disappear from the reconstructed planes, whereas Mn3+ ions are still exposed at the edges of nanoparticles. Our observations suggest that surface reconstructions can deactivate low-index surfaces of Mn oxides in OER. These structural and chemical observations are further validated by density functional theory calculations. This work shows why atomic-scale characterization of surface structures is crucial for a molecular-level understanding of a chemical reaction in oxide nanoparticles.

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