Multi-Technique Characterization of Rhodium Gem-Dicarbonyls on TiO$_2$(110)
Moritz Eder, Faith J. Lewis, Johanna I. H\"utner, Panukorn Sombut, Maosheng Hao, David Rath, Jan Balajka, Margareta Wagner, Matthias Meier, Cesare Franchini, Ulrike Diebold, Michael Schmid, Florian Libisch, Ji\v{r}\'i Pavelec, and Gareth S. Parkinson

TL;DR
This study employs a multi-technique approach combining spectroscopy, microscopy, and DFT calculations to characterize rhodium gem-dicarbonyls on TiO$_2$(110), revealing their surface location, coordination, and complex behavior on metal oxide supports.
Contribution
It introduces an integrated multi-technique methodology to accurately identify and analyze rhodium gem-dicarbonyls on a single-crystalline TiO$_2$(110) surface, overcoming limitations of traditional IR spectroscopy.
Findings
Rhodium gem-dicarbonyls are successfully created on TiO$_2$(110) surface.
Microscopy confirms their alignment along the [001] direction.
XPS reveals multiple rhodium species despite IR signatures.
Abstract
Gem-dicarbonyls of transition metals supported on metal (oxide) surfaces are common intermediates in heterogeneous catalysis. While infrared (IR) spectroscopy is a standard tool for detecting these species on applied catalysts, the ill-defined crystallographic environment of species observed on powder catalysts renders data interpretation challenging. In this work, we apply a multi-technique surface science approach to investigate rhodium gem-dicarbonyls on a single-crystalline rutile TiO(110) surface. We combine spectroscopy, scanning probe microscopy, and Density Functional Theory (DFT) to determine their location and coordination on the surface. IR spectroscopy shows the successful creation of gem-dicarbonyls on a titania single crystal by exposing deposited Rh atoms to CO gas, followed by annealing to 200-250 K. Low-temperature scanning tunneling microscopy (STM) and non-contact…
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Taxonomy
TopicsMachine Learning in Materials Science · Electron and X-Ray Spectroscopy Techniques · Advanced Materials Characterization Techniques
