Unknown

Dataset Information

0

Integer versus Fractional Charge Transfer at Metal(/Insulator)/Organic Interfaces: Cu(/NaCl)/TCNE.


ABSTRACT: Semilocal and hybrid density functional theory was used to study the charge transfer and the energy-level alignment at a representative interface between an extended metal substrate and an organic adsorbate layer. Upon suppressing electronic coupling between the adsorbate and the substrate by inserting thin, insulating layers of NaCl, the hybrid functional localizes charge. The laterally inhomogeneous charge distribution resulting from this spontaneous breaking of translational symmetry is reflected in observables such as the molecular geometry, the valence and core density of states, and the evolution of the work function with molecular coverage, which we discuss for different growth modes. We found that the amount of charge transfer is determined, to a significant extent, by the ratio of the lateral spacing of the molecules and their distance to the metal. Therefore, charge transfer does not only depend on the electronic structure of the individual components but, just as importantly, on the interface geometry.

SUBMITTER: Hofmann OT 

PROVIDER: S-EPMC4514220 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Integer versus Fractional Charge Transfer at Metal(/Insulator)/Organic Interfaces: Cu(/NaCl)/TCNE.

Hofmann Oliver T OT   Rinke Patrick P   Scheffler Matthias M   Heimel Georg G  

ACS nano 20150430 5


Semilocal and hybrid density functional theory was used to study the charge transfer and the energy-level alignment at a representative interface between an extended metal substrate and an organic adsorbate layer. Upon suppressing electronic coupling between the adsorbate and the substrate by inserting thin, insulating layers of NaCl, the hybrid functional localizes charge. The laterally inhomogeneous charge distribution resulting from this spontaneous breaking of translational symmetry is refle  ...[more]

Similar Datasets

| S-EPMC5570996 | biostudies-literature
| S-EPMC4278690 | biostudies-literature
| S-EPMC8154845 | biostudies-literature
| S-EPMC6635483 | biostudies-literature
| S-EPMC5694661 | biostudies-literature
| S-EPMC7032849 | biostudies-literature
| S-EPMC6429599 | biostudies-literature
| S-EPMC5916106 | biostudies-literature
| S-EPMC6981235 | biostudies-literature
| S-EPMC5492217 | biostudies-literature