Publikationen von Karsten Reuter

Reuter, K.: Multiscale Modelling of Operando Energy Conversion Systems. EnergyDays, Energy Conversion and Storage, Eindhoven Institute for Renewable Energy Systems, EIRES, Eindhoven, Netherlands (2023)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. International Conference on Data-Integrated Simulation Science (SimTech2023), Stuttgart, Germany (2023)

Reuter, K.: Multiscale Modelling of Operando Energy Conversion Systems. The Inaugural Lennard-Jones Centre Meeting: Theory and Molecular Simulation in the Physical Sciences, University of Cambridge, Cambridge, UK (2023)

Reuter, K.: Exploring Catalytic Reaction Network with Machine Learning. 5th Conference of Theory and Applications of Computational Chemistry (TACC2023), Sapporo, Japan (2023)

Reuter, K.: Out of the Crystalline Comfort Zone: Atomistic Modelling of Operando Energy Conversion System. ICAT-FHI Symposium: Approaching to the Catalysis Reality, Sapporo, Japan (2023)

Reuter, K.: Adaptive Design of Experiment. Catalysis Summit 2023, Filzmoos, Austria (2023)

Reuter, K.: Exploring Catalytic Reaction Networks with Machine Learning. Joint TACO-NanoCat Conference 2023, TAming COmplexity in Materials: Synergies between Experiment and Modelling, Vienna, Austria (2023)

Reuter, K.: Multiscale Modelling of Operando Energy Conversion Systems. Inauguration of the Christian Doppler Laboratory, TU Wien, Vienna, Austria (2023)

Reuter, K.: Exploring Catalytic Reaction Networks with Machine Learning. 5th Conference of Theory and Applications of Computational Chemistry, TACC, Sapporo, Japan (2023)

Reuter, K.: Out of the Crystalline Comfort Zone: Atomistic Modelling of Operando Energy Conversion Systems. ICAT‐FHI Symposium, Approaching the Catalysis Reality, Sapporo, Japan (2023)

Reuter, K.: Data-Enhanced Multiscale Modeling of Heterogeneous Catalysis. SUNCAT Summer Institute 2023, SUNCAT Center for Interface Science and Catalysis, Stanford, CA, USA (2023)

Reuter, K.: Exploring Catalytic Reaction Networks with Machine Learning. 2023 ACS Fall National Meeting & Exposition, San Francisco, CA, USA (2023)

Reuter, K.: Out of the Crystalline Comfort Zone: Atomistic Modelling of Operando Energy Conversion Systems. Workshop, New Horizons in Materials Design, Max-Planck-Institut für Eisenforschung, Düsseldorf, Germany (2023)

Reuter, K.: Machine Learning Accelerated. SUNCAT Summer Institute, Stanford University, Palo Alto (2023)

Reuter, K.: First-Principles Based Modelling of Electrocatalysis Beyond the Potential of Zero Charge. Satellite Meeting, Intermolecular Interactions and Properties of Gases, Liquids and Solids, International Congress of Quantum Chemistry, ICQC 2023, Graz, Austria (2023)

Reuter, K.: Out of the Crystalline Comfort Zone: Atomistic Modelling of Operando Energy Conversion System. Chemistry Colloquium, Institute of Chemistry, Universität Graz, Graz, Austria (2023)

Reuter, K.: Exploring Catalytic Reaction Networks with Machine Learning. Workshop, Computational Materials Science, Telluride Science Research Center, Telluride, CO, USA (2023)

Reuter, K.: First-Principles Based Modelling of Electrocatalysis Beyond the Potential of Zero Charge. NAM 28, 2023 North American Catalysis Society Meeting, Providence, RI, USA (2023)

Reuter, K.: Out of the Crystalline Comfort Zone: Atomistic Modelling of Operando Energy Conversion Systems. CECAM Psi-k Research Conference, Bridging Length Scales with Machine Learning, Berlin, Germany (2023)

Reuter, K.: Exploring Mesoscopic Mass Transport Effects in Electrocatalytic Selectivity. Germany-Korea On-Site Plenary Discussion on Computational Electrochemistry 2023, Department of Chemistry, Korea University, Seoul, South Korea (2023)