Publikationen von Karsten Reuter

Reuter, K.: Machine Learning for Heterogeneous Catalysis and Energy Conversion. AI & Research / MPG event, Berlin, Germany (2024)

Reuter, K.: Out of the Crystalline Comfort Zone: Tackling Working Interfaces with Machine Learning. CECAM Flagship Workshop, Beyond ground state simulations: Navigating challenges in excited states of extended molecules and materials, Lausanne, Switzerland (2024)

Reuter, K.: Out of the Crystalline Comfort Zone: Tackling Working Interfaces with Machine Learning. Mini-Symposium on Materials and Catalysis: Experiments and Modelling, Barcelona, Spain (2024)

Reuter, K.: Out of the Crystalline Comfort Zone: Tackling Working Interfaces With Machine Learning. 11th Triennial Congress of the International Society for Theoretical Chemical Physics, Qingdao, China (2024)

Reuter, K.: Computational Electrocatalyst Design Beyond Crystalline Active Sites. 38th Topical Meeting of the International Society of Electrochemistry, Manchester, UK (2024)

Reuter, K.: Beyond Crystallinity and Throughput: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. 7th Computational Molecular Science, CMS2024, Warwick, UK (2024)

Reuter, K.: Out of the Crystalline Comfort Zone: Data-Enhanced Atomistic Modeling of Ionic and Polaronic Migration. TUM-IAS Workshop, Ion Migration in Materials for Energy Applications, Munich, Germany (2024)

Reuter, K.: Data-Enhanced Multiscale Theory of Operando Energy Conversion Systems. 2024 ACS Fall National Meeting & Exposition, Denver, CO, USA (2024)

Reuter, K.: Beyond Crystallinity and Throughput: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. Artificial Intelligence for Advanced Materials, AI4AM2024, Barcelona, Spain (2024)

Reuter, K.: Out of the Crystalline Comfort Zone: Tackling Working Interfaces with Machine Learning. CECAM Flagship Workshop, Machine Learning of First-Principles Observables, Berlin, Germany (2024)

Reuter, K.: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. Group Retreat, TUM Chair for Solid-State Electrolyte Chemistry (Prof. Rupp), Starnberg, Germany (2024)

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)