Abstract Density functional theory (DFT) was used to investigate the applicability of the graphene-supported Nin nanoclusters as catalysts for the hydrogenation reaction. The adsorption and complete dissociation of the H2… Click to show full abstract
Abstract Density functional theory (DFT) was used to investigate the applicability of the graphene-supported Nin nanoclusters as catalysts for the hydrogenation reaction. The adsorption and complete dissociation of the H2 on the Nin nanoclusters were investigated at the PBE-G/DNP level of theory. Accordingly, molecularly and dissociatively adsorbed hydrogens were seen on the Nin (n = 2–3) and Nin (n = 4–10) nanoclusters, respectively. The hydrogen adsorption on the Ni6 and Ni4 nanoclusters were more effective than other nanoclusters. Therefore, we investigated the hydrogen adsorption on the graphene-supported Ni2, Ni4 and Ni6 nanoclusters. The nanocluster adsorption energy on the graphene increased with the number of atoms in the nanocluster, whereas the adsorption energy per atom decreased. Hence, due to the stronger interactions of Ni-Ni than those of Ni-C, it seemed that the formation of nanoclusters on the graphene surface was favorable over the dispersion of the separate atoms. The results confirmed that the H2 was dissociatively adsorbed on the graphene-supported Ni4 and Ni6 nanoclusters, which can make them good candidates as catalysts.
               
Click one of the above tabs to view related content.