Publications of Karsten Reuter

Reuter, K.: Current Challenges in First-Principles Based Modelling of Electrocatalysis. 72nd Annual Meeting of the International Society of Electrochemistry, Online Event (2021)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. Workshop, New Trends in Computational Chemistry, Online Event (2021)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. Colloquium, The Fuel Science Center, Excellence Cluster (D), Online Event (2021)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. Workshop, New Trends in Theoretical Materials Research and Chemistry, Berlin-Brandenburg Academy of Sciences and Humanities, Online Event (2021)

Reuter, K.: Ab Initio Thermodynamics and Heterogeneous Catalysis. FHI-aims Tutorial Series, Online Event (2021)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. Archers Conference, Heraklion, Greece, Online Event (2021)

Reuter, K.: Merging Multiscale Theory and Data Sciences to Tackle Operando Energy Conversion Systems. Distinguished Lecture Series on Catalysis, University of Central Florida, Online Event (2020)

Reuter, K.: Current Challenges in First-Principles Modelling of Electrocatalysis. Seminar, Department of Chemistry and Electrochemistry, Imperial College London, Online Event (2020)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. 6th International Conference on Electronic Materials and Nanotechnology for Green Environment, Online Event (2020)

Reuter, K.: Multiscale Theory of Operando Energy Conversion Systems. Condensed Matter Conference CMD2020GEFES, Online Event (2020)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. 10. ProcessNet-Jahrestagung und 34. DECHEMA-Jahrestagung der Biotechnologen 2020, Online Event (2020)

Reuter, K.: Finding the Right Bricks for Molecular Legos – Data Mining Approaches to Organic Semiconductor Design. 2020 MRS Fall Meeting & Exhibit, Online Event (2020)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. Workshop, Centre Européen de Calcul Atomique et Moléculaire, CECAM-DE-MM1P, Online Event (2020)

Cui, M.: Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning. Dissertation, Humboldt-Universität zu, Berlin (2025)

Dudzinski, A.: First Step of the Oxygen Reduction Reaction: A Computational Study of O₂ Adsorption at Electrified Metal/Water Interfaces. Dissertation, Freie Universität, Berlin (2025)

Oschinski, H.: Efficient Modeling of Interfacial Capacitance Effects in Computational Electrochemistry. Dissertation, Technische Universität, Berlin (2025)

Eggert, T.: Structure and Energetics of Metal-Water Interfaces from Atomistic Simulations. Dissertation, Technische Universität, München (2024)

Annies, S.: Meso-scale modeling of the structural, electronic and transport properties governing (dis-)charging processes in lithium intercalated graphite anodes. Dissertation, Technische Universität, München (2023)

Chen, K.: Molecular Machine Learning for Complex Electronic Properties. Dissertation, Technische Universität, München (2023)

Deimel, M.: Ab Initio Studies of the Activity and Selectivity of Transition Metal Catalysts for CO Hydrogenation. Dissertation, Technische Universität, München (2023)