Publications of Karsten Reuter
All genres
Talk (109)
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Talk
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Thesis - PhD (28)
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Thesis - PhD
Keller, E.: Low-Cost Electronic Structure Methods for Computational Materials Science. Freie Universität Berlin
469.
Thesis - PhD
Cui, M.: Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning. Humboldt-Universität zu Berlin
470.
Thesis - PhD
Oschinski, H.: Efficient Modeling of Interfacial Capacitance Effects in Computational Electrochemistry. Technische Universität Berlin
471.
Thesis - PhD
Dudzinski, A.: First Step of the Oxygen Reduction Reaction: A Computational Study of O2 Adsorption at Electrified Metal/Water Interfaces. Freie Universität Berlin
472.
Thesis - PhD
Eggert, T.: Structure and Energetics of Metal-Water Interfaces from Atomistic Simulations. Technische Universität München
473.
Thesis - PhD
Landini, E.: Machine Learning Based Screening of Double Perovskites for Photovoltaic Applications. Technische Universität München
474.
Thesis - PhD
Chen, K.: Molecular Machine Learning for Complex Electronic Properties. Technische Universität München
475.
Thesis - PhD
Ghan, S.: Electronic Couplings from Density Functional Theory: Quantitative Approaches. Technische Universität München
476.
Thesis - PhD
Annies, S.: Meso-scale modeling of the structural, electronic and transport properties governing (dis-)charging processes in lithium intercalated graphite anodes. Technische Universität München
477.
Thesis - PhD
Deimel, M.: Ab Initio Studies of the Activity and Selectivity of Transition Metal Catalysts for CO Hydrogenation. Technische Universität München
478.
Thesis - PhD
Türk, H.: Active Site Generation and Deactivation of the Air Electrode in High Temperature Solid Oxide Cells. Technische Universität München
479.
Thesis - PhD
Lee, Y.: Discoveries in Ruthenium Oxide-Based Catalysts: From Morphology Control for Water Electrolysis to Surface Structure Determination via Machine-Learning. Technische Universität München
480.
Thesis - PhD
Xu, W.: Tailoring complexity for catalyst discovery using physically motivated machine learning. Technische Universität München