Publications of Karsten Reuter

Thesis - Habilitation (1)

2005
Thesis - Habilitation
Reuter, Karsten: First-principles statistical mechanics for oxidation catalysis.

Thesis - Master (4)

2022
Thesis - Master
Huss, Tabea: Towards a universal machine learning interatomic potential for the xLi2S-(100 - x)P2S5 material class.
Thesis - Master
König, Patricia: Generative Adversarial Networks (GANs) for inverse design of RuO2 surfaces.
2021
Thesis - Master
Bergmann, Nicolas: Investigation of oxidized Cu surfaces using Gaussian Approximation Potentials.
Thesis - Master
Sauerland, Lena: Machine-learned interatomic potentials for the syngas conversion on Rhodium.

Working Paper (4)

2025
Working Paper
Jakob, Konstantin, Karsten Reuter and Johannes Margraf: Universally Accurate or Specifically Inadequate? Stress-testing General Purpose Machine Learning Interatomic Potentials.
Working Paper
Müller, Niclas S., Alexander P. Fellows, Ben John, Andrew E. Naclerio, Christian Carbogno, Katayoun Gharagozloo-Hubmann, Damian Balaz, Ryan A. Kowalski, Hendrik Heenen, Christoph Scheurer, Karsten Reuter, Joshua D. Caldwell, Martin Wolf, Piran R. Kidambi, Martin Thämer and Alexander Paarmann: Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon-Enhanced Sum-Frequency Microscopy.
2022
Working Paper
Landini, Elisabeth, Karsten Reuter and Harald Oberhofer: Machine-learning Based Screening of Lead-free Halide Double Perovskites for Photovoltaic Applications.
2021
Working Paper
Neumann, Felix, Johannes Margraf, Karsten Reuter and Albert Bruix: Interplay between shape and composition in bimetallic nanoparticles revealed by an efficient optimal-exchange optimization algorithm.

Editorial (1)

2024
Editorial
Klag, Linda, Roger Gläser, Ulrike Krewer, Karsten Reuter and Jan-Dierk Grunwaldt: Special Collection: Catalysts and Reactors under Dynamic Conditions for Energy Storage and Conversion.
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