Publikationen von Karsten Reuter

Reuter, K.: Beyond Crystallinity and Throughput: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. Armourers and Brasiers' Cambridge Forum, Department of Materials Science & Metallurgy, University of Cambridge, Cambridge, UK (2024)

Reuter, K.: Exploring Catalytic Reaction Networks With Machine Learning. Global Conference on Materials in an Explosively Growing Information World, CIMTEC 2024, Montecatini Terme, Italy (2024)

Reuter, K.: Beyond Crystallinity and Throughput: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. DA&ML Community Seminar, BASF, Online Event (2024)

Reuter, K.: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. Conference on Porous Materials in Energy Science, Herrsching, Germany (2024)

Reuter, K.: Exploring Catalytic Reaction Networks With Machine Learning. Workshop, Computational Materials Sciences for Efficient Water Splitting COST18234, Vienna, Austria (2024)

Reuter, K.: Exploring Catalytic Reaction Networks With Machine Learning. Workshop, Carbon Management in Chemical Industry, Indo-German Science & Technology Centre, IGSTC, Mumbai, India (2024)

Reuter, K.: Machine Learning for (Dynamic) Heterogeneous Catalysis. Graduate School, DFG Priority Program SPP2080 DynaKat, Berlin, Germany (2024)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. Colloquium, CRC 1114 Scaling Cascades in Complex Systems, Freie Universität, Berlin, Germany (2023)

Reuter, K.: Data-Enhanced Multiscale Modelling of Operando Energy Conversion Systems. HPC Workshop, AI and Data-Intensive Applications, Max Planck Computing and Data Facility, Kreuth, Germany (2023)

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.: 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)