Publications of Karsten Reuter

Reuter, K.: From Big Data to Smart Data: Data-Efficient Machine Learning for Materials and Energy Research. Electronic Materials and Applications 2021, Online Event (2021)

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

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.: Knowledge-Based Approaches in Catalysis and Energy Modelling. Workshop, Centre Européen de Calcul Atomique et Moléculaire, CECAM-DE-MM1P, 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.: Multiscale Theory of Operando Energy Conversion Systems. Research Seminar, Heriot-Watt University, Edinburgh, UK (2020)

Reuter, K.: Multiscale Theory of Operando Energy Conversion Systems. Colloquium of the GRK 2450, Karlsruhe Institute of Technology, Karlsruhe, Germany (2020)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. Electronic Materials and Applications 2020, Orlando, FL, USA (2020)

Reuter, K.: On the Active Site Model in Computational Catalyst Screening. 708. WE-Heraeus Seminar, Operando Surface Science - Atomistic Insights into Electrified Solid/Liquid Interfaces, Bad Honnef, Germany (2019)

Reuter, K.: Thinking Outside the Box – Beyond Machine Learning for Quantum Chemistry. Workshop, Centre Européen de Calcul Atomique et Moléculaire, CECAM, Bremen, Germany (2019)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. 66th Symposium of the American Vacuum Society, Columbus, OH, USA (2019)

Reuter, K.: Multiscale Theory of Operando Energy Conversion Systems. Seminar, Thomas Young Center (TYC), Imperial College, London, UK (2019)

Reuter, K.: Knowledge-Based Approaches in Catalysis and Energy Modelling. Catalysis Summit, Filzmoos, Austria (2019)

Reuter, K.: Multiscale Theory of Operando Energy Conversion Systems. Workshop, Hands-On DFT and Beyond, High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain (2019)

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

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