PhD, Master and Bachelor Theses

A complete list of our PhD, Master and Bachelor Theses from 2011 until today

Previous Publications

A complete list of previous publications of the Reuter group from 1996 to 2020

Current publications of the Theory Department

Yoo, S.-H., L.S. Aota, S. Shin, A.A. El-Zoka, P.W. Kang, Y. Lee, H. Lee, S.-H. Kim and B. Gault: Dopant Evolution in Electrocatalysts after Hydrogen Oxidation Reaction in an Alkaline Environment. ACS Energy Letters 8 (8), 3381–3386 (2023).
Vondrák, M., 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).
Lai, K.C., 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).
Grigorev, P., L. Frérot, F. Birks, A. Gola, J. Golebiowski, J. Grießer, J.L. Hörmann, A. Klemenz, G. Moras, W.G. Nöhring, J.A. Oldenstaedt, P. Patel, T. Reichenbach, L. Shenoy, M. Walter, S. Wengert, J.R. Kermode and L. Pastewka: matscipy: materials science at the atomic scale with Python. The Journal of Open Source Software (JOSS) 5668
Jung, H., L. Sauerland, S. Stocker, K. Reuter and J. Margraf: Machine-learning driven global optimization of surface adsorbate geometries. npj Computational Materials 9, 114 (2023).
Margraf, J.: Science-Driven Atomistic Machine Learning. Angewandte Chemie International Edition 62 (26), e202219170 (2023).
Lin, Q., H. Lan, C. Ma, R.T. Stendall, K. Shankland, R.A. Musgrave, P.N. Horton, C. Baldauf, H.-J. Hofmann, C.P. Butts, M.M. Müller and A.J.A. Cobb: Crystal Structure and NMR of an α,δ-Peptide Foldamer Helix Shows Side-Chains are Well Placed for Bifunctional Catalysis: Application as a Minimalist Aldolase Mimic. Angewandte Chemie International Edition e202305326 (2023).
Zheng, Y., A.S. Petersen, H. Wan, R. Hübner, J. Zhang, J. Wang, H. Qi, Y. Ye, C. Liang, J. Yang, Z. Cui, Y. Meng, Z. Zheng, J. Rossmeisl and W. Liu: Scalable and Controllable Synthesis of Pt-Ni Bunched-Nanocages Aerogels as Efficient Electrocatalysts for Oxygen Reduction Reaction. Advanced Energy Materials 13 (20), 2204257 (2023).
Chen, K., C. Kunkel, B. Cheng, K. Reuter and J. Margraf: Physics-inspired machine learning of localized intensive properties. Chemical Science 14 (18), 4913–4922 (2023).
Dupuy, R., 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).
Mairegger, T., 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).
Kastlunger, G., H. Heenen and N. Govindarajan: Combining First-Principles Kinetics and Experimental Data to Establish Guidelines for Product Selectivity in Electrochemical CO2 Reduction. ACS Catalysis 13 (7), 5062–5072 (2023).
Lai, K.C., D.-J. Liu and J.W. Evans: Nucleation-mediated reshaping of facetted metallic nanocrystals: Breakdown of the classical free energy picture. The Journal of Chemical Physics 158 (10), 104102 (2023).
Huss, T. and I.M. Dixon: Electronic Structure and Geometry of the Lowest 2LMCT State of Fe(III) Potential Fluorescent Emitters. Inorganic Chemistry 62 (10), 4284–4290 (2023).
Anníes, S., C. Scheurer and C. Panosetti: The intrinsic electrostatic dielectric behaviour of graphite anodes in Li-ion batteries-Across the entire functional range of charge. Electrochimica Acta 444, 141966 (2023).
Petersen, A.S., K.D. Jensen, H. Wan, A. Bagger, I. Chorkendorff, I.E.L. Stephens, J. Rossmeisl and M. Escudero-Escribano: Modeling Anion Poisoning during Oxygen Reduction on Pt Near-Surface Alloys. ACS Catalysis 13 (4), 2735–2743 (2023).
Margraf, J., H. Jung, C. Scheurer and K. Reuter: Exploring catalytic reaction networks with machine learning. Nature Catalysis 6 (2), 112–121 (2023).
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).
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).
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).
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).
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).
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).
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).
Türk, H., T. Götsch, F. Schmidt, A. Hammud, D. Ivanov, ( 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).
Wan, H., A. Bagger and J. Rossmeisl: Limitations of Electrochemical Nitrogen Oxidation toward Nitrate. The Journal of Physical Chemistry Letters 13 (38), 8928–8934 (2022).
Heenen, H., H. Shin, G. Kastlunger, S. Overa, J.A. Gauthier, F. Jiao and K. Chan: The mechanism for acetate formation in electrochemical CO(2) reduction on Cu: selectivity with potential, pH, and nanostructuring. Energy & Environmental Science 15 (9), 3978–3990 (2022).
Staacke, C., T. Huss, J. Margraf, K. Reuter and C. Scheurer: Tackling Structural Complexity in Li2 S-P2S5 Solid-State Electrolytes Using Machine Learning Potentials. Nanomaterials 12 (17), 2950 (2022).
Boix, V., 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).
Stegmaier, S., K. Reuter and C. Scheurer: Exploiting Nanoscale Complexion in LATP Solid-State Electrolyte via Interfacial Mg2+ Doping. Nanomaterials 12 (17), 2912 (2022).
Li, H. and K. Reuter: Ab Initio Thermodynamic Stability of Carbide Catalysts under Electrochemical Conditions. ACS Catalysis 12 (16), 10506–10513 (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 15 (8), 3310–3320 (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).
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).
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).
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).
He, T. and K.S. Exner: Computational electrochemistry focusing on nanostructured catalysts: challenges and opportunities. Materials Today Energy 28, 101083 (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).
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).
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).
Kelly, S.R., H. Heenen, N. Govindarajan, K. Chan and J.K. Nørskov: OH Binding Energy as a Universal Descriptor of the Potential of Zero Charge on Transition Metal Surfaces br. The Journal of Physical Chemistry C 126 (12), 5521–5528 (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).
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).
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 15 (10), e202200015 (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).
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).
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).
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).
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).
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).
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).
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).
Levin, N., J. Margraf, J. Lengyel, K. Reuter, M. Tschurl and U. Heiz: CO2-Activation by size-selected tantalum cluster cations (Ta1–16+): thermalization governing reaction selectivity. Physical Chemistry Chemical Physics 24 (4), 2623–2629 (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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
Hörmann, N. and K. Reuter: Thermodynamic cyclic voltammograms: peak positions and shapes. Journal of Physics: Condensed Matter 33 (26), 264004 (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).
Andersen, M. and K. Reuter: Adsorption Enthalpies for Catalysis Modeling through Machine-Learned Descriptors. Accounts of Chemical Research 54 (12), 2741–2749 (2021).
Kunkel, C., J.T. Margraf, K. Chen, H. Oberhofer and K. Reuter: Active discovery of organic semiconductors. Nature Communications 12, 2422 (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).
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).
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).
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).
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).
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).
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).
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).
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