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Integer Charge Transfer Model-PTCDA on MgO(001)/Ag(001) Probing the Transition from Single to Double Integer Charge
Philipp Hurdax1, Michael Hollerer1, Christian S Kern1
1Institute of Physics, NAWI Graz, University of Graz, Universitätsplatz 5, 8010 Graz, Austria.
This study extends the integer charge transfer model to explore double integer charging in organic semiconductors. Researchers observed double negative charging of PTCDA molecules on tunable work function substrates, revealing new charge transfer regimes.
Area of Science:
- Surface Science
- Materials Chemistry
- Physical Chemistry
Background:
- The integer charge transfer (ICT) model explains charge transfer in adsorbate/substrate systems based on substrate work function.
- Existing models well describe single integer charging but not double integer charging, which remains experimentally elusive.
Purpose of the Study:
- To extend the ICT model to the double integer charging regime.
- To experimentally investigate the transition from single to double integer charging.
Main Methods:
- Utilized Perylenetetracarboxylic-dianhydride (PTCDA) as a molecular adsorbate with high electron affinity.
- Employed ultrathin MgO(001) films on Ag(001) as a substrate with a tunable work function.
- Combined scanning tunneling microscopy (STM), photoemission spectroscopy (PES), work function measurements, and density functional theory (DFT) calculations.
Main Results:
- Observed the transition from single negative charging to double negative charging of PTCDA molecules.
- Identified distinct work function regimes corresponding to vacuum level alignment and Fermi level pinning for both single and double charging.
- Demonstrated double negative charging of PTCDA molecules at very low substrate work functions.
Conclusions:
- The study successfully extends the ICT model to the double integer charging regime.
- The findings provide experimental evidence for double integer charging in organic semiconductor/metal oxide systems.
- The work elucidates the complex charge transfer dynamics at interfaces with tunable work functions.
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