Publications 2022 of the
Theory Department

Ahsan, M.A., T. He, J.C. Noveron, K. Reuter, A.R. Puente-Santiago and R. Luque: Low-dimensional heterostructures for advanced electrocatalysis: an experimental and computational perspective. Chemical Society Reviews 51 (3), 812–828 (2022).

Bauer, M.N., M.I.J. Probert and C. Panosetti: Systematic Comparison of Genetic Algorithm and Basin Hopping Approaches to the Global Optimization of Si(111) Surface Reconstructions. The Journal of Physical Chemistry A 126 (19), 3043–3056 (2022).

Beinlich, S., N. Hörmann and K. Reuter: Field Effects at Protruding Defect Sites in Electrocatalysis at Metal Electrodes? ACS Catalysis 12 (10), 6143–6148 (2022).

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).

Chen, K., C. Kunkel, K. Reuter and J. Margraf: Reorganization energies of flexible organic molecules as a challenging target for machine learning enhanced virtual screening. Digital Discovery 1 (2), 147–157 (2022).

Deimel, M., H. Prats, M. Seibt, K. Reuter and M. Andersen: Selectivity Trends and Role of Adsorbate–Adsorbate Interactions in CO Hydrogenation on Rhodium Catalysts. ACS Catalysis 12 (13), 7907–7917 (2022).

Dupuy, R., J. Filser, C. Richter, R. Seidel, F. Trinter, T. Buttersack, C. Nicolas, J. Bozek, U. Hergenhahn, H. Oberhofer, B. Winter, K. Reuter and H. Bluhm: Photoelectron angular distributions as sensitive probes of surfactant layer structure at the liquid-vapor interface. Physical Chemistry Chemical Physics 24 (8), 4796–4808 (2022).

Felsen, F., K. Reuter and C. Scheurer: A model-free sparse approximation approach to robust formal reaction kinetics. Chemical Engineering Journal 433 (1), 134121 (2022).

Filser, J., K. Reuter and H. Oberhofer: Piecewise Multipole-Expansion Implicit Solvation for Arbitrarily Shaped Molecular Solutes. Journal of Chemical Theory and Computation 18 (1), 461–478 (2022).

Govindarajan, N., G. Kastlunger, H. Heenen and K. Chan: Improving the intrinsic activity of electrocatalysts for sustainable energy conversion: where are we and where can we go? Chemical Science 13 (1), 14–26 (2022).

He, T. and K.S. Exner: Computational electrochemistry focusing on nanostructured catalysts: challenges and opportunities. Materials Today Energy 28, 101083 (2022).

He, T., A.R. Puente-Santiago, S. Xia, M.A. Ahsan, G. Xu and R. Luque: Experimental and Theoretical Advances on Single Atom and Atomic Cluster-Decorated Low-Dimensional Platforms towards Superior Electrocatalysts. Advanced Energy Materials 12 (22), 2200493 (2022).

He, T., A.R.P. Santiago, Y. Kong, M.A. Ahsan, R. Luque, A. Du and H. Pan: Atomically Dispersed Heteronuclear Dual-Atom Catalysts: A New Rising Star in Atomic Catalysis. Small 18 (12), 2106091 (2022).

Hu, X., M.-O. Lenz and C. Baldauf: Better force fields start with better data: A data set of cation dipeptide interactions. Scientific Data 9, 327 (2022).

Keller, E., T. Tsatsoulis, K. Reuter and J. Margraf: Regularized second-order correlation methods for extended systems. The Journal of Chemical Physics 156 (2), 024106 (2022).

Kelly, S.R., H. Heenen, N. Govindarajan, K. Chan and J.K. Nørskov: OH Binding Energy as a Universal Descriptor of the Potential of ZeroCharge on Transition Metal Surfaces br. The Journal of Physical Chemistry C 126 (12), 5521–5528 (2022).

Khare, R., R. Weindl, A. Jentys, K. Reuter, H. Shi and J.A. Lercher: Di- and Tetrameric Molybdenum Sulfide Clusters Activate and Stabilize Dihydrogen as Hydrides. JACS Au 2 (3), 613–622 (2022).

Lee, Y., C. Scheurer and K. Reuter: Epitaxial Core-Shell Oxide Nanoparticles: First-Principles Evidence for Increased Activity and Stability of Rutile Catalysts for Acidic Oxygen Evolution. ChemSusChem e202200015 (2022).

Levin, N., J. Margraf, J. Lengyel, K. Reuter, M. Tschurl and U. Heiz: CO₂-Activation by size-selected tantalum cluster cations (Ta_1–16⁺): thermalization governing reaction selectivity. Physical Chemistry Chemical Physics 24 (4), 2623–2629 (2022).

Margraf, J., Z.W. Ulissi, Y. Jung and K. Reuter: Heterogeneous Catalysis in Grammar School. The Journal of Physical Chemistry C 126 (6), 2931–2936 (2022).

Mei, J., J. Shang, T. He, D. Qi, L. Kou, T. Liao, A. Du and Z. Sun: 2D/2D Black Phosphorus/Nickel Hydroxide Heterostructures for Promoting Oxygen Evolution via Electronic Structure Modulation and Surface Reconstruction. Advanced Energy Materials 12 (25), 2201141 (2022).

Ringe, S., N. Hörmann, H. Oberhofer and K. Reuter: Implicit Solvation Methods for Catalysis at Electrified Interfaces. Chemical Reviews 122 (12), 10777–10820 (2022).

Shadravan, V., A. Cao, V.J. Bukas, M.K. Grønborg, C.D. Damsgaard, Z. Wang, J. Kibsgaard, J.K. Nørskov and I. Chorkendorff: Enhanced promotion of Ru-based ammonia catalysts by in situ dosing of Cs. Energy & Environmental Science, in press.

Staacke, C., S. Wengert, C. Kunkel, G. Csányi, K. Reuter and J. Margraf: Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model. Machine Learning: Science and Technology 3 (1), 015032 (2022).

Wengert, S., 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).

Xu, W., 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).

Zhang, D., H. Li, A. Riaz, A. Sharma, W. Liang, Y. Wang, H. Chen, K. Vora, D. Yan, Z. Su, A. Tricoli, C. Zhao, F.J. Beck, K. Reuter, K. Catchpole and S. Karuturi: Unconventional direct synthesis of Ni₃N/Ni with N-vacancies for efficient and stable hydrogen evolution. Energy & Environmental Science 15 (1), 185–195 (2022).

Döpking, S.: Error aware analysis of multi-scale reactivity models for chemical surface reactions. Freie Universität Berlin

Grosu, C.: Capturing ion dynamics in lithium intercalated graphite: bridging the gap between experiment and theory through advanced nuclear magnetic resonance and multiscale modeling. Technische Universität München

Timmermann, J.: Iridiumoxid as catalyst in water electrolysis: identification of novel surface structures via machine learning. Technische Universität München

Huss, T.: Towards a universal machine learning interatomic potential for the xLi₂S-(100 - x)P₂S₅ material class. Technische Universität München

König, P.: How to teach my deep generative model to create new RuO₂ structures? An approach towards inverse design with GANs. Technische Universität München