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

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

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

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.

Originalspracheenglisch
Aufsatznummer2000992
FachzeitschriftAdvanced Science
Jahrgang7
Ausgabenummer15
DOIs
PublikationsstatusVeröffentlicht - 28 Juni 2020

ASJC Scopus subject areas

  • Allgemeiner Maschinenbau
  • Allgemeine Physik und Astronomie
  • Allgemeine chemische Verfahrenstechnik
  • Biochemie, Genetik und Molekularbiologie (sonstige)
  • Allgemeine Materialwissenschaften
  • Medizin (sonstige)

Fields of Expertise

  • Advanced Materials Science

Kooperationen

  • NAWI Graz

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