Publications of Karsten Reuter

Thesis - PhD (27)

481.
Thesis - PhD
McNellis, E.R.: First-principles modeling of molecular switches at surfaces. Freie Universität Berlin
482.
Thesis - PhD
Gehrke, R.: First-principles basin-hopping for the structure determination of atomic clusters. Freie Universität Berlin
483.
Thesis - PhD
Zhang, Y.: First-principles statistical mechanics approach to step decoration at solid surfaces. Freie Universität Berlin
484.
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)

485.
Thesis - Habilitation
Reuter, K.: First-principles statistical mechanics for oxidation catalysis. Freie Universität Berlin Berlin

Thesis - Master (4)

486.
Thesis - Master
Huss, T.: Towards a universal machine learning interatomic potential for the xLi2S-(100 - x)P2S5 material class. Technische Universität München
487.
Thesis - Master
König, P.: Generative Adversarial Networks (GANs) for inverse design of RuO2 surfaces. Technische Universität München
488.
Thesis - Master
Sauerland, L.: Machine-learned interatomic potentials for the syngas conversion on Rhodium. Ludwig-Maximilians-Universität München
489.
Thesis - Master
Bergmann, N.: Investigation of oxidized Cu surfaces using Gaussian Approximation Potentials. Technische Universität München

Working Paper (4)

490.
Working Paper
Müller, N.S., A.P. Fellows, B. John, A.E. Naclerio, C. Carbogno, K. Gharagozloo-Hubmann, D. Balaz, R.A. Kowalski, H. Heenen, C. Scheurer, K. Reuter, J.D. Caldwell, M. Wolf, P.R. Kidambi, M. Thämer and A. Paarmann: Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon-Enhanced Sum-Frequency Microscopy., in press.
491.
Working Paper
Jakob, K., K. Reuter and J. Margraf: Universally Accurate or Specifically Inadequate? Stress-testing General Purpose Machine Learning Interatomic Potentials., in press.
492.
Working Paper
Landini, E., K. Reuter and H. Oberhofer: Machine-learning Based Screening of Lead-free Halide Double Perovskites for Photovoltaic Applications., in press.
493.
Working Paper
Neumann, F., J. Margraf, K. Reuter and A. Bruix: Interplay between shape and composition in bimetallic nanoparticles revealed by an efficient optimal-exchange optimization algorithm., in press.

Editorial (1)

494.
Editorial
Klag, L., R. Gläser, U. Krewer, K. Reuter and J.-D. Grunwaldt: Special Collection: Catalysts and Reactors under Dynamic Conditions for Energy Storage and Conversion. ChemCatChem e202401191 (2024).
Go to Editor View