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Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search

Alexander T. Egger, Lukas Hörmann, Andreas Jeindl, Michael Scherbela, Veronika Obersteiner, Milica Todorović, Patrick Rinke, Oliver T. Hofmann

2020Advanced Science39 citationsDOIOpen Access PDF

Abstract

Abstract Density functional theory calculations are combined with machine learning to investigate the coverage‐dependent charge transfer at the tetracyanoethylene/Cu(111) hybrid organic/inorganic interface. The study finds two different monolayer phases, which exhibit a qualitatively different charge‐transfer behavior. Our results refute previous theories of long‐range charge transfer to molecules not in direct contact with the surface. Instead, they demonstrate that experimental evidence supports our hypothesis of a coverage‐dependent structural reorientation of the first monolayer. Such phase transitions at interfaces may be more common than currently envisioned, beckoning a thorough reevaluation of organic/inorganic interfaces.

Topics & Concepts

TetracyanoethyleneMonolayerCharge (physics)Chemical physicsOrganic moleculesDensity functional theoryMaterials scienceInterface (matter)MoleculeTransfer (computing)Range (aeronautics)NanotechnologyComputer scienceChemistryComputational chemistryPhysicsPhotochemistryOrganic chemistryQuantum mechanicsParallel computingGibbs isothermComposite materialMachine Learning in Materials ScienceQuantum Dots Synthesis And PropertiesMolecular Junctions and Nanostructures
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