π-Orbital mediated charge transfer channels in a monolayer Gr-NiPc heterointerface unveiled by soft X-ray electron spectroscopies and DFT calculations.
Andrea CasottoGiovanni DreraDaniele PerilliSonia FreddiStefania PagliaraMichele ZanottiLuca SchioAlberto VerdiniLuca FloreanoCristiana Di ValentinLuigi SangalettiPublished in: Nanoscale (2022)
With the aim to identify charge transfer channels underlying device development and operation, X-Ray Photoelectron Spectroscopy (XPS), Near-Edge X-Ray Absorption Fine Structure (NEXAFS), and Resonant Photoelectron Spectroscopy (ResPES) have been employed to characterize a novel heterointerface obtained by the controlled evaporation of a Nickel Phthalocyanine (NiPc) monolayer on a single layer of Graphene (Gr) on SiC substrate. Indeed, the Gr-NiPc interface could be a promising candidate for different applications in the field of photonics, optoelectronics, and sensing, provided that clear information on the charge transfer mechanisms at the Gr-NiPc interface can be obtained. The analysis of the spectroscopic data has shown the effective functionalization and the horizontally-flat disposition of the NiPc complexes over the Gr layer. With this geometry, the main intermolecular interaction experienced by the NiPc species is the coupling with the Gr substrate, through π-symmetry orbitals, as revealed by the different behaviour of the valence band photoemission at resonance with the N K-edge and Ni L 3 -edge. These results have been supported by the analysis of density functional theory (DFT) calculations, that allowed for a rationalization of the experimental data, showing that charge transfer at the interface occurs from the doubly degenerate e g LUMO orbital, involving mainly N and C (pyrrole ring) p z states, to the holes in the p-doped graphene layer.
Keyphrases
- density functional theory
- molecular dynamics
- high resolution
- energy transfer
- dual energy
- electronic health record
- molecular docking
- big data
- electron microscopy
- quantum dots
- air pollution
- computed tomography
- photodynamic therapy
- mass spectrometry
- solid state
- magnetic resonance
- machine learning
- healthcare
- health information