Publications

Xu, W., M. Andersen and K. Reuter: Data-Driven Descriptor Engineering and Refined Scaling Relations for Predicting Transition Metal Oxide Reactivity. ACS Catalysis 11 (2), 734–742 (2021).

Margraf, J.T. and K. Reuter: Pure non-local machine-learned density functional theory for electron correlation. Nature Communications 12, 344 (2021).

Ghan, S., C. Kunkel, K. Reuter and H. Oberhofer: Improved Projection-Operator Diabatization Schemes for the Calculation of Electronic Coupling Values. Journal of Chemical Theory and Computation 16 (12), 7431–7443 (2020).

Deimel, M., K. Reuter and M. Andersen: Active Site Representation in First-Principles Microkinetic Models: Data-Enhanced Computational Screening for Improved Methanation Catalysts. ACS Catalysis 10 (22), 13729–13736 (2020).

Timmermann, J., F. Kraushofer, N. Resch, P. Li, Y. Wang, Z. Mao, M. Riva, Y. Lee, C. Staacke, M. Schmid, C. Scheurer, G.S. Parkinson, U. Diebold and K. Reuter: IrO₂ Surface Complexions Identified through Machine Learning and Surface Investigations. Physical Review Letters 125 (20), 206101 (2020).

Stocker, S., G. Csányi, K. Reuter and J.T. Margaf: Machine learning in chemical reaction space. Nature Communications 11, 5505 (2020) (2020).

Auer, A., M. Andersen, E.-M. Werning, N.G. Hörmann, N. Buller, K. Reuter and J. Kunze-Liebhäuser: Self-activation of copper electrodes during CO electro-oxidation in alkaline electrolyte. Nature Catalysis 3 (10), 797–803 (2020).

Li, H. and K. Reuter: Active-Site Computational Screening: Role of Structural and Compositional Diversity for the Electrochemical CO₂ Reduction at Mo Carbide Catalysts. ACS Catalysis 10 (20), 11814–11821 (2020).

Hörmann, N.G., N. Marzari and K. Reuter: Electrosorption at metal surfaces from first principles. npj Computational Materials 6, 136 (2020).

Cingolani, J.S., M. Deimel, S. Köcher, C. Scheurer, K. Reuter and M. Andersen: Interface between graphene and liquid Cu from molecular dynamics simulations. The Journal of Chemical Physics 153 (7), 074702 (2020) (2020).