Similar Building Blocks, Diverse Structures: Understanding Self-Assembly of Acenequinones on Ag(111)
ORAL
Abstract
The ongoing miniaturization in nanotechnology raises the need to understand (and control) the formation of surface polymorphs on a molecular level. Due to the intricate interaction mechanisms, complex physics and high configurational complexity at play, this understanding is still at the very beginning.
In this contribution, we showcase and explain the surprisingly diverse experimental surface monolayers a homologous series of acenequinones forms on Ag(111).[1] Using a newly created tool[2] that combines coarse graining, DFT and machine learning, we are able to predict the motifs that form. Our step-by-step analysis identifies three important driving forces governing the motif formation: i) interactions between adsorbates and substrate favoring specific orientations and adsorption sites; ii) intermolecular interactions favoring the formation of close packed structures; and iii) steric hindrance partly blocking otherwise beneficial molecular arrangements.
This shows that, using the right techniques, one can gain fundamental insight even for such complex systems, adding a new tool to nanotechnology design.
[1] Jeindl et al., arXiv:2010.10347
[2] Hörmann et al., Comp. Phys. Comm. 244, 2019
In this contribution, we showcase and explain the surprisingly diverse experimental surface monolayers a homologous series of acenequinones forms on Ag(111).[1] Using a newly created tool[2] that combines coarse graining, DFT and machine learning, we are able to predict the motifs that form. Our step-by-step analysis identifies three important driving forces governing the motif formation: i) interactions between adsorbates and substrate favoring specific orientations and adsorption sites; ii) intermolecular interactions favoring the formation of close packed structures; and iii) steric hindrance partly blocking otherwise beneficial molecular arrangements.
This shows that, using the right techniques, one can gain fundamental insight even for such complex systems, adding a new tool to nanotechnology design.
[1] Jeindl et al., arXiv:2010.10347
[2] Hörmann et al., Comp. Phys. Comm. 244, 2019
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Presenters
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Andreas Jeindl
Institute of Solid State Physics, Graz University of Technology, Graz Univ of Technology
Authors
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Andreas Jeindl
Institute of Solid State Physics, Graz University of Technology, Graz Univ of Technology
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Jari Domke
Friedrich Schiller University Jena
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Lukas Hörmann
Institute of Solid State Physics, Graz University of Technology, Graz Univ of Technology
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Falko Sojka
Friedrich Schiller University Jena
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Roman Forker
Friedrich Schiller University Jena
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Torsten Fritz
Friedrich Schiller University Jena
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Oliver T. Hofmann
Institute of Solid State Physics, Graz University of Technology, Graz Univ of Technology