Journal
APPLIED SURFACE SCIENCE
Volume 575, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.apsusc.2021.151687
Keywords
Density functional theory; Structure prediction; Machine learning; Kinetic trapping; Ab-initio thermodynamics; Temperature dependence
Categories
Funding
- Austrian Science Fund (FWF) [Y1157-N36]
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This study investigates the impact of surface polymorphs on the interface work functions for various organic/metal interfaces. Through theoretical structure searches and predictions, it is shown that kinetic trapping and reorientation of molecules can lead to significant changes in work function.
Molecules adsorbing on metal surfaces form a variety of different surface polymorphs. How strongly this polymorphism affects interface properties is a priori unknown. In this work we investigate how strongly the surface polymorphism influences the interface work functions for various organic/metal interfaces. To evaluate the whole bandwidth of possible polymorphs, we perform full theoretical structure search, probing millions of polymorph candidates. All of these candidates might be observed in reality, either by kinetic trapping or by thermodynamic occupation. Employing first-principles calculations and machine learning we predict and analyze the work function changes for those millions of candidates for three physically distinct model systems: the weakly interacting naphthalene on Cu(111), the strongly interacting anthraquinone on Ag(111), and tetracyanoethylene, which undergoes a reorientation from lying to standing polymorphs on the Cu(111) surface. These thorough investigations indicate that kinetic trapping of flat-lying molecules can lead to work function differences of a few hundred meV. If the molecules also reorientate, this can increase to a change of several eV. We further show that the spread in work function decreases when working in thermodynamic equilibrium, but thermally occupied phases still lead to an intrinsic uncertainty at elevated temperatures.
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