Publications of Karsten Reuter
All genres
Thesis - PhD (26)
2021
Thesis - PhD
Kunkel, C.: Data-driven Organic Semiconductor Discovery. Technische Universität München
2010
Thesis - PhD
Guhl, H.: Density functional theory study of oxygen and water adsorption on SrTiO3(001). Humboldt-Universität Berlin
Thesis - PhD
Matera, S.: A First-Principles Based Multiscale Approach from the Electronic to the Continuum Regime: CO Oxidation at RuO2(110). Technische Universität Berlin Berlin
Thesis - PhD
Rieger, M.: First-principles based models for lateral interactions of adsorbates. Freie Universität Berlin
Thesis - PhD
Sanfilippo, A.G.: An ab-initio study of bilayer graphene using higher order quantum chemical methods. Freie Universität Berlin
Thesis - PhD
McNellis, E.R.: First-principles modeling of molecular switches at surfaces. Freie Universität Berlin
2009
Thesis - PhD
Gehrke, R.: First-principles basin-hopping for the structure determination of atomic clusters. Freie Universität Berlin
2008
Thesis - PhD
Zhang, Y.: First-principles statistical mechanics approach to step decoration at solid surfaces. Freie Universität Berlin
2006
Thesis - PhD
Rogal, J.: Stability, composition and function of palladium surfaces in oxidizing environments: A first-principles statistical mechanics approach. Freie Universität Berlin
Thesis - Habilitation (1)
2005
Thesis - Habilitation
Reuter, K.: First-principles statistical mechanics for oxidation catalysis. Freie Universität Berlin Berlin
Thesis - Master (4)
2022
Thesis - Master
Huss, T.: Towards a universal machine learning interatomic potential for the xLi2S-(100 - x)P2S5 material class. Technische Universität München
Thesis - Master
König, P.: Generative Adversarial Networks (GANs) for inverse design of RuO2 surfaces. Technische Universität München
2021
Thesis - Master
Sauerland, L.: Machine-learned interatomic potentials for the syngas conversion on Rhodium. Ludwig-Maximilians-Universität München
Thesis - Master
Bergmann, N.: Investigation of oxidized Cu surfaces using Gaussian Approximation Potentials. Technische Universität München
Working Paper (4)
2025
Working Paper
Müller, N.S., A.P. Fellows, B. John, , C. Carbogno, , D. Balaz, , H. Heenen, C. Scheurer, K. Reuter, , M. Wolf, , M. Thämer and A. Paarmann: Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon-Enhanced Sum-Frequency Microscopy., in press.
Working Paper
Jakob, K., K. Reuter and J. Margraf: Universally Accurate or Specifically Inadequate? Stress-testing General Purpose Machine Learning Interatomic Potentials., in press.
2022
Working Paper
Landini, E., K. Reuter and : Machine-learning Based Screening of Lead-free Halide Double Perovskites for Photovoltaic Applications., in press.
2021
Working Paper
J. Margraf, K. Reuter and : Interplay between shape and composition in bimetallic nanoparticles revealed by an efficient optimal-exchange optimization algorithm., in press.
, Editorial (1)
2024
Editorial
K. Reuter and : Special Collection: Catalysts and Reactors under Dynamic Conditions for Energy Storage and Conversion. ChemCatChem e202401191 (2024).
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