An
improved understanding of the interactions of transition-metal
(TM) nanoparticles with Lewis acids/bases will facilitate the design
of more efficient catalysts. Therefore, Pt14, Pt13, Pt12, and Ni12 nanoparticles have been studied
at the TPSSh/Def2-TZVP level of density functional theory (DFT). Surface
electrostatic potential [V
S(r)] maps are used to analyze the Lewis acidic and basic properties
of all nanoparticles and indicate that the interactions of Pt and
Ni nanoparticles are governed by σd
-holes and σs
-holes, respectively.
Lewis acids (Na+, HF) and a Lewis base (H2O)
have been tested as ligands to probe the local interaction proficiencies.
The comparison between binding energies and V
S(r) shows that the lowest minimum (V
S,min) and highest maximum (V
S,max) of V
S(r) on each particle
can predict the most favorable binding site for the Lewis acids and
base, respectively. V
S,min can also rank
the different binding strengths of Na+ and HF with the
nanoparticles. For H2O, the binding strength versus V
S,max correlation is better for Ni12 than for the Pt nanoparticles. This observation is discussed in
relation to charge transfer/polarization and structural deformation
upon interaction. In light of our findings, we compare the catalytic
potential of Ni to the less abundant but more commonly used Pt.