Publications 2021 of the
Theory Department

Andersen, M. and K. Reuter: Adsorption Enthalpies for Catalysis Modeling through Machine-Learned Descriptors. Accounts of Chemical Research 54 (12), 2741–2749 (2021).

Anniés, S., C. Panosetti, M. Voronenko, D. Mauth, C. Rahe and C. Scheurer: Accessing Structural, Electronic, Transport and Mesoscale Properties of Li-GICs via a Complete DFTB Model with Machine-Learned Repulsion Potential. Materials 14 (21), 6633 (2021).

Bischoff, F., A. Riss, G.S. Michelitsch, J. Ducke, J.V. Barth, K. Reuter and W. Auwärter: Surface-Mediated Ring-Opening and Porphyrin Deconstruction via Conformational Distortion. Journal of the American Chemical Society 143 (37), 15131–15138 (2021).

Dávila López, A., T. Eggert, K. Reuter and N. Hörmann: Static and dynamic water structures at interfaces: A case study with focus on Pt(111). The Journal of Chemical Physics 155 (19), 194702 (2021).

Götsch, T., H. Türk, F. Schmidt, I.C. Vinke, L.G.J. De Haart, R. Schlögl, K. Reuter, R.-A. Eichel, A. Knop-Gericke, C. Scheurer and T. Lunkenbein: Visualizing the Atomic Structure Between YSZ and LSM: An Interface Stabilized by Complexions? ECS Transactions 103 (1), 1331–1337 (2021).

Griesser, C., H. Li, E.-M. Werning, D. Winkler, N.S. Nia, T. Mairegger, T. Götsch, T. Schachinger, A. Steiger-Thirsfeld, S. Penner, D. Wielend, D. Egger, C. Scheurer, K. Reuter and J. Kunze-Liebhäuser: True Nature of the Transition-Metal Carbide/Liquid Interface Determines Its Reactivity. ACS Catalysis 11 (8), 4920–4928 (2021).

Hörmann, N. and K. Reuter: Thermodynamic Cyclic Voltammograms Based on Ab Initio Calculations: Ag(111) in Halide-Containing Solutions. Journal of Chemical Theory and Computation 17 (3), 1782–1794 (2021).

Hörmann, N. and K. Reuter: Thermodynamic cyclic voltammograms: peak positions and shapes. Journal of Physics: Condensed Matter 33 (26), 264004 (2021).

Kick, M., C. Scheurer and H. Oberhofer: Polaron-Assisted Charge Transport in Li-Ion Battery Anode Materials. ACS Applied Energy Materials 4 (8), 8583–8591 (2021).

Kunkel, C., J.T. Margraf, K. Chen, H. Oberhofer and K. Reuter: Active discovery of organic semiconductors. Nature Communications 12, 2422 (2021).

Li, H., Y. Liu, K. Chen, J. Margraf, Y. Li and K. Reuter: Subgroup Discovery Points to the Prominent Role of Charge Transfer in Breaking Nitrogen Scaling Relations at Single-Atom Catalysts on VS₂. ACS Catalysis 11 (13), 7906–7914 (2021).

Li, K., S.Z. Andersen, M.J. Staff, M. Saccoccio, V.J. Bukas, K. Krempl, R. Sazinas, J.B. Pedersen, V. Shadravan, Y. Zhou, D. Chakraborty, J. Kibsgaard, P.C.K. Vesborg, J.K. Nørskov and I. Chorkendorff: Enhancement of lithium-mediated ammonia synthesis by addition of oxygen. Science 374 (6575), 1593–1597 (2021).

Liu, W., Y. Kong, B. Wang, X. Li, P. Liu, A.R.P. Santiago and T. He: Computational Study of the Curvature-Promoted Anchoring of Transition Metals for Water Splitting. Nanomaterials 11 (12), 3173 (2021).

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

Staacke, C., H. Heenen, C. Scheurer, G. Csányi , K. Reuter and J. Margraf: On the Role of Long-Range Electrostatics in Machine-Learned Interatomic Potentials for Complex Battery Materials. ACS Applied Energy Materials 4 (11), 12562–12569 (2021).

Stegmaier, S., R. Schierholz, I. Povstugar, J. Barthel, S.P. Rittmeyer, S. Yu, S. Wengert, S. Rostami, H. Kungl, K. Reuter, R.-A. Eichel and C. Scheurer: Nano-Scale Complexions Facilitate Li Dendrite-Free Operation in LATP Solid-State Electrolyte. Advanced Energy Materials 11 (26), 2100707 (2021).

Timmermann, J., Y. Lee, C. Staacke, J. Margraf, C. Scheurer and K. Reuter: Data-Efficient Iterative Training of Gaussian Approximation Potentials: Application to Surface Structure Determination of Rutile IrO₂ and RuO₂. The Journal of Chemical Physics 155 (24), 244107 (2021).

Tsakonas, C., A.C. Manikas, M. Andersen, M. Dimitropoulos, K. Reuter and C. Galiotis: In situ kinetic studies of CVD graphene growth by reflection spectroscopy. Chemical Engineering Journal 421 (1), 129434 (2021).

Türk, H., F. Schmidt, T. Götsch, F. Girgsdies, A. Hammud, D. Ivanov, I.C. Vinke, L.G.J. de Haart, R.-A. Eichel, K. Reuter, R. Schlögl, A. Knop-Gericke, C. Scheurer and T. Lunkenbein: Complexions at the Electrolyte/Electrode Interface in Solid Oxide Cells. Advanced Materials Interfaces 8 (18), 2100967 (2021).

Weindl, R., R. Khare, L. Kovarik, A. Jentys, K. Reuter, H. Shi and J.A. Lercher: Zeolite-Stabilized Di- and Tetranuclear Molybdenum Sulfide Clusters Form Stable Catalytic Hydrogenation Sites. Angewandte Chemie International Edition 60 (17), 9301–9305 (2021).

Wengert, S., G. Csányi, K. Reuter and J. Margraf: Data-efficient machine learning for molecular crystal structure prediction. Chemical Science 12 (12), 4536–4546 (2021).

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).

Wengert, S., C. Kunkel, J. Margraf and K. Reuter: Accelerating molecular materials discovery with machine-learning. In: High-Performance Computing and Data Science in the Max Planck Society. Max Planck Computing and Data Facility, Garching, 40–41 (2021).

Kunkel, C.: Data-driven Organic Semiconductor Discovery. Technische Universität München

Bergmann, N.: Investigation of oxidized Cu surfaces using Gaussian Approximation Potentials. Technische Universität München

Sauerland, L.: Machine-learned interatomic potentials for the syngas conversion on Rhodium. Ludwig-Maximilians-Universität München