Abstract :
[en] To improve reactivity and achieve a higher material efficiency, catalysts are often used in the form of clusters with nanometer dimensions, down to single atoms. Since the corresponding properties are highly structure-dependent, a suitable support is thus required to ensure cluster stability during operating conditions. Herein, an efficient method to stabilize cobalt nanoclusters on graphene grown on nickel substrates, exploiting the anchoring effect of nickel atoms incorporated in the carbon network is presented. The anchored nanoclusters are studied by in situ variable temperature scanning tunneling microscopy at different temperatures and upon gas exposure. Cluster stability upon annealing up to 200 °C and upon CO exposure at least up to 1 × 10−6 mbar CO partial pressure is demonstrated. Moreover, the dimensions of the cobalt nanoclusters remain surprisingly small (<3 nm diameter) with a narrow size distribution. Density functional theory calculations demonstrate that the interplay between the low diffusion barrier on graphene on nickel and the strong anchoring effect of the nickel atoms leads to the increased stability and size selectivity of these clusters. This anchoring technique is expected to be applicable also to other cases, with clear advantages for transition metals that are usually difficult to stabilize.
Funding text :
The authors acknowledge financial support from the Italian Ministry of Education, Universities and Research (MIUR) through the program PRIN 2017—project no. 2017NYPHN8. C.A. acknowledges support from Fondazione NEST—“Network 4 Energy Sustainable Transition”—Spoke 4, clean hydrogen and final uses—and G.C. acknowledges support from the National Quantum Science and Technology Institute (NQSTI), both funded by the National Recovery and Resilience Plan (PNRR)—MUR Missione 4 – Componente 2 – Investimento 1.3 – Next Generation EU (NGEU). M.P. acknowledges funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 101007417 NFFA-Europe Pilot. The authors acknowledge financial support from MAECI (Executive Program with Serbia 2019-2021). M.P. acknowledges support from Fondazione ICSC—“Italian Research Center on High-Performance Computing, Big Data and Quantum Computing”—Spoke 7, Materials and Molecular Sciences—National Recovery and Resilience Plan (PNRR)—funded by MUR Missione 4 – Componente 2 – Investimento 1.4 – Next Generation EU (NGEU). The authors acknowledge the University of Trieste for the agreement with CINECA and the CINECA award under the ISCRA initiative, for the availability of high-performance computing resources and support.
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