most citedStructural Optimization in Tensor LEED Using a Parameter Tree and -Factor Gradients

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

CO on a Rh/Fe3O4 single-atom catalyst: high-resolution infrared spectroscopy and near-ambient-pressure scanning tunnelling microscopy

Nail El Hocine Barama, Chunlei Wang, Panukorn Sombut +14

Infrared reflection absorption spectroscopy (IRAS) offers a powerful route to bridging the materials and pressure gaps between surface science and powder catalysis. Using a newly d…

cond-mat.mtrl-sci2026

Hydrogen Activation via Dihydride Formation on a Rh1/Fe3O4(001) Single-Atom Catalyst

Chunlei Wang, Panukorn Sombut, Lena Puntscher +10

Hydrogen activation is a key elementary step in catalytic hydrogenation. In heterogeneous catalysis, it usually proceeds through dissociative adsorption on metal nanoparticles foll…

cond-mat.mtrl-sci20251 cited

Structural Optimization in Tensor LEED Using a Parameter Tree and -Factor Gradients

Alexander M. Imre, Paul Haidegger, Florian Kraushofer +10

Quantitative low-energy electron diffraction [LEED ] is a powerful method for surface-structure determination, based on a direct comparison of experimentally observed

cond-mat.mtrl-sci2025

Molecular Arrangements in the First Monolayer of Cu-Phthalocyanine on InO(111)

Matthias Blatnik, Fabio Calcinelli, Andreas Jeindl +6

Well-ordered organic molecular layers on oxide surfaces are key for organic electronics. Using a combination of scanning tunneling microscopy (STM) and non-contact atomic force mic…

physics.chem-ph2025

Multi-Technique Characterization of Rhodium Gem-Dicarbonyls on TiO(110)

Moritz Eder, Faith J. Lewis, Johanna I. Hütner +12

Gem-dicarbonyls of transition metals supported on metal (oxide) surfaces are common intermediates in heterogeneous catalysis. While infrared (IR) spectroscopy is a standard tool fo…

eess.IV2025

Total Variation-Based Image Decomposition and Denoising for Microscopy Images

Marco Corrias, Giada Franceschi, Michele Riva +5

Experimentally acquired microscopy images are unavoidably affected by the presence of noise and other unwanted signals, which degrade their quality and might hide relevant features…