Fritz Haber Institute of the Max Planck Society

Publications of Karsten Reuter

All genres

Journal Article (344)

Journal Article

Y. Lee, J. Timmermann, C. Panosetti, C. Scheurer and K. Reuter: Staged Training of Machine-Learning Potentials from Small to Large Surface Unit Cells: Efficient Global Structure Determination of the RuO₂(100)-c(2 × 2) Reconstruction and (410) Vicinal. The Journal of Physical Chemistry C 127 (35), 17599–17608 (2023).

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M. Vondrák, K. Reuter and J. Margraf: q-pac: A Python package for machine learned charge equilibration models. The Journal of Chemical Physics 159 (5), 054109 (2023).

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K.C. Lai, S. Matera, C. Scheurer and K. Reuter: A fuzzy classification framework to identify equivalent atoms in complex materials and molecules. The Journal of Chemical Physics 159 (2), 024129 (2023).

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H. Jung, L. Sauerland, S. Stocker, K. Reuter and J. Margraf: Machine-learning driven global optimization of surface adsorbate geometries. npj Computational Materials 9, 114 (2023).

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S. Ghan, E. Diesen, C. Kunkel, K. Reuter and H. Oberhofer: Interpreting ultrafast electron transfer on surfaces with a converged first-principles Newns–Anderson chemisorption function. The Journal of Chemical Physics 158 (23), 234103 (2023).

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K. Chen, C. Kunkel, B. Cheng, K. Reuter and J. Margraf: Physics-inspired machine learning of localized intensive properties. Chemical Science 14 (18), 4913–4922 (2023).

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R. Dupuy, J. Filser, C. Richter, T. Buttersack, F. Trinter, S. Gholami, R. Seidel, C. Nicolas, J. Bozek, D. Egger, H. Oberhofer, S. Thürmer, U. Hergenhahn, K. Reuter, B. Winter and H. Bluhm: Ångstrom-Depth Resolution with Chemical Specificity at the Liquid-Vapor Interface. Physical Review Letters 130 (15), 156901 (2023).

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T. Mairegger, H. Li, C. Grießer, D. Winkler, J. Filser, N. Hörmann, K. Reuter and J. Kunze-Liebhäuser: Electroreduction of CO₂ in a Non-aqueous Electrolyte-The Generic Role of Acetonitrile. ACS Catalysis 13 (9), 5780–5786 (2023).

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J. Margraf, H. Jung, C. Scheurer and K. Reuter: Exploring catalytic reaction networks with machine learning. Nature Catalysis 6 (2), 112–121 (2023).

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H. Gao, V. Belova, F. La Porta, J.S. Cingolani, M. Andersen, M. Saedi, O.V. Konovalov, M. Jankowski, H. Heenen, I.M.N. Groot, G. Renaud and K. Reuter: Graphene at Liquid Copper Catalysts: Atomic-Scale Agreement of Experimental and First-Principles Adsorption Height. Advanced Science 9 (36), 2204684 (2022).

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P. Kube, J. Dong, N. Sánchez Bastardo, H. Ruland, R. Schlögl, J. Margraf, K. Reuter and A. Trunschke: Green synthesis of propylene oxide directly from propane. Nature Communications 13, 7504 (2022).

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J. Peng, D. Schwalbe-Koda, K. Akkiraju, T. Xie, L. Giordano, Y. Yu, C.J. Eom, J.R. Lunger, D.J. Zheng, R.R. Rao, S. Muy, J.C. Grossman, K. Reuter, R. Gómez-Bombarelli and Y. Shao-Horn: Human- and machine-centred designs of molecules and materials for sustainability and decarbonization. Nature Reviews Materials 7 (12), 991–1009 (2022).

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H. Türk, E. Landini, C. Kunkel, J. Margraf and K. Reuter: Assessing Deep Generative Models in Chemical Composition Space. Chemistry of Materials 34 (21), 9455–9467 (2022).

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H. Türk, T. Götsch, F. Schmidt, A. Hammud, D. Ivanov, (B.de H. J. L. G., I.C. Vinke, R.-A. Eichel, R. Schlögl, K. Reuter, A. Knop-Gericke, T. Lunkenbein and C. Scheurer: Sr Surface Enrichment in Solid Oxide Cells – Approaching the Limits of EDX Analysis by Multivariate Statistical Analysis and Simulations. ChemCatChem 14 (19), e202200300 (2022).

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C. Staacke, T. Huss, J. Margraf, K. Reuter and C. Scheurer: Tackling Structural Complexity in Li₂S-P₂S₅ Solid-State Electrolytes Using Machine Learning Potentials. Nanomaterials 12 (17), 2950 (2022).

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V. Boix, W. Xu, G. D’Acunto, J. Stubbe, T. Gallo, M.D. Strømsheim, S. Zhu, M. Scardamaglia, A. Shavorskiy, K. Reuter, M. Andersen and J. Knudsen: Graphene as an Adsorption Template for Studying Double Bond Activation in Catalysis. The Journal of Physical Chemistry C 126 (33), 14116–14124 (2022).

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S. Stegmaier, K. Reuter and C. Scheurer: Exploiting Nanoscale Complexion in LATP Solid-State Electrolyte via Interfacial Mg²⁺ Doping. Nanomaterials 12 (17), 2912 (2022).

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H. Li and K. Reuter: Ab Initio Thermodynamic Stability of Carbide Catalysts under Electrochemical Conditions. ACS Catalysis 12 (16), 10506–10513 (2022).

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W. Xu, K. Reuter and M. Andersen: Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation. Nature Computational Science 2 (7), 443–450 (2022).

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S. Wengert, G. Csányi, K. Reuter and J. Margraf: A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal Screenings. Journal of Chemical Theory and Computation 18 (7), 4586–4593 (2022).

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