Temperature-dependent templated growth of porphine thin films on the (111) facets of copper and silver
Katharina Diller, Florian Klappenberger, Francesco Allegretti,, Anthoula C. Papageorgiou, Sybille Fischer, David A. Duncan, Reinhard J., Maurer, Julian A. Lloyd, Seung Cheol Oh, Karsten Reuter, and Johannes V., Barth

TL;DR
This study investigates how temperature and substrate type influence the growth, orientation, and electronic structure of porphine thin films on copper and silver surfaces using spectroscopy and DFT simulations.
Contribution
It provides detailed insights into the molecular orientation and electronic signatures of porphine films, revealing substrate- and temperature-dependent growth behaviors and orientations.
Findings
Multilayers at low temperature have similar tilting angles (~30°) on both substrates.
Room temperature multilayers on Cu(111) are limited to about two layers, while on Ag(111) they grow thicker with perpendicular orientation.
XPS signatures vary with photon energy due to molecular orientation and are explained by DFT calculations.
Abstract
The templated growth of the basic porphyrin unit, free-base porphine (2H-P), is characterized by means of X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine-structure (NEXAFS) spectroscopy measurements and density functional theory (DFT). The DFT simulations allow the deconvolution of the complex XPS and NEXAFS signatures into contributions originating from five inequivalent carbon atoms, which can be grouped into C-N and C-C bonded species. Polarization-dependent NEXAFS measurements reveal an intriguing organizational behavior: On both Cu(111) and Ag(111), for coverages up to one monolayer, the molecules adsorb undeformed and parallel to the respective metal surface. Upon increasing the coverage, however, the orientation of the molecules in the thin films depends on the growth conditions. Multilayers deposited at low temperatures (LT) exhibit a similar average…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
