Publications 2022 of the
Theory Department

Brösigke, G., J.-U. Repke, R. Schomäcker and S. Matera: The closer the better? Theoretical assessment of the impact of catalytic site separation for bifunctional core-shell catalyst particles. Chemical Engineering Journal 446 (1), 136891 (2022).

Chakraborty, A., T. Brumme, S. Schmahl, H. Weiske, C. Baldauf and K.R. Asmis: Impact of anion polarizability on ion pairing in microhydrated salt clusters. Chemical Science 13 (44), 13187–13200 (2022).

Gao, H., 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).

Kube, P., 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).

Li, A., P. Nan, Y. Wang, Z. Gao, S. Zhang, Z.-K. Han, X. Zhao, B. Ge, C. Fu and T. Zhu: Chemical stability and degradation mechanism of Mg₃Sb_2-xBi_x thermoelectrics towards room-temperature applications. Acta Materialia 239, 118301 (2022).

Li, M., M. Tang, H. Dai, T. He and Z. Wang: A binder-free, well-integrated metal-organic frameworks@polypyrrole nanofilm electrocatalyst for highly efficient and selective reduction of carbon dioxide. Materials Today Energy 30, 101140 (2022).

Peng, J., 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).

Schreck, S., E. Diesen, M. Dell’Angela, C. Liu, M. Weston, F. Capotondi, H. Ogasawara, J. LaRue, R. Costantini, M. Beye, P.S. Miedema, J.H. Stenlid, J. Gladh, B. Liu, H.-Y. Wang, F. Perakis, F. Cavalca, S. Koroidov, P. Amann, E. Pedersoli, D. Naumenko, I. Nikolov, L. Raimondi, F. Abild-Pedersen, T.F. Heinz, J. Voss, A.C. Luntz and A. Nilsson: Atom-Specific Probing of Electron Dynamics in an Atomic Adsorbate by Time-Resolved X-Ray Spectroscopy. Physical Review Letters 129 (27), 276001 (2022).

Stocker, S., J. Gasteiger, F. Becker, S. Günnemann and J. Margraf: How robust are modern graph neural network potentials in long and hot molecular dynamics simulations? Machine Learning: Science and Technology 3 (4), 045010 (2022).

Türk, H., T. Götsch, F. Schmidt, A. Hammud, D. Ivanov, J.L.G.(B. de Haart, 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).

Türk, H., 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).

Egger, D.: Dielectrics at Liquid-Liquid Interfaces. Technische Universität München

Lee, Y.: Discoveries in Ruthenium Oxide-Based Catalysts: From Morphology Control for Water Electrolysis to Surface Structure Determination via Machine-Learning. Technische Universität München

Staacke, C.: The Electrostatic Gap: Combining Electrostatic Models with Machine Learning Potentials. Technische Universität München

Türk, H.: Active Site Generation and Deactivation of the Air Electrode in High Temperature Solid Oxide Cells. Technische Universität München

Xu, W.: Tailoring complexity for catalyst discovery using physically motivated machine learning. Technische Universität München