Suchergebnisse

Roldan Cuenya, B.: Electrocatalytic Nitrate and Nitrite Reduction Towards Ammonia Using Cu₂O Nanocubes: Active Species, Reaction Mechanisms and Stability. ACS Fall Meeting 2024, Denver, CO, USA (2024)

Roldan Cuenya, B.: Unveiling Intermediate States, Adsorbate Configurations and Clustering behavior of Metal-N-C Single Atom Catalysts during the Electrocatalytic Reduction of CO₂. ACS Fall Meeting 2024, Advances in Catalytic Science: Exploring Operando Methods with XAS & DRIFTS, Denver, CO, USA (2024)

Scheffler, M.: Impact, Uncertain Expectations, and Open Challenges of AI in Materials Science. Conference of Condensed Matter Physics (CCMP), Liyang, Jiangsu, China (2024)

Scheurer, C.: Explainable AI for SDLs. Seminar, Department of Mathematics and Computer Science (AG Vogelsang), University of Cologne, Cologne, Germany (2024)

Thämer, M.: Combining Nonlinear Vibrational Spectra With Spatial Resolution to Uncover Molecular Structures at Aqueous Interfaces. Gordon Research Conference, Insights into Molecular Structure and Dynamics in Complex Systems, Smithfield, RI, USA (2024)

Carbogno, C.: Accelerating Transport Coefficient Predictions via Machine Learning. CECAM Flagship Workshop, Machine Learning of First Principles Observables, Berlin, Germany (2024)

Chee, S. W.: Probing the Heterogeneity and Complexity in Electrocatalysts Under Reaction Conditions Through Operando Microscopy. 6th Joint Sino-German Workshop on Advanced and Correlative Electron Microscopy of Catalysts, Quantum Phenomena and Soft Matter, Bad Honnef, Germany (2024)

Fellows, A. P.: Revealing Heterogeneity in Molecular Structure Using Higher Dimensional Second-Order Optical Techniques. Seminar, Columbia University, New York, NY, USA (2024)

Heenen, H.: Understanding Graphene Growth at Liquid Metal Catalysts. STiBNite Symposium, Leiden, The Netherlands (2024)

Junkes, H.: Epics Control System for IR FEL’s. Infrared Free-Electron Lasers: The State of the Art 2024, Berlin, Germany (2024)

Kang, K.: Sustainable Thermoelectric Materials: First-Principles and Machine Learning Studies. The 2nd World Congress of Korean Scientists & Engineers, Seoul, South Korea (2024)

Lunkenbein, T.: Exploring Structural Complexity in Heterogeneous Catalysts by Operando Electron Microscopy. Pre-Meeting Congress, Microscopy & Microanalysis 2024, Cleveland, OH, USA (2024)

Margraf, J.: Machine Learning in Chemical Reaction Space. CECAM Flagship Workshop, Machine Learning of First Principles Observables, Berlin, Germany (2024)

Meijer, G.: On Chiral Molecules and on Laser Cooling Diatomic Molecules. 13th International Meeting on Atomic and Molecular Physics and Chemistry, Warzaw, Poland (2024)

Paarmann, A.: Free-Electron Laser-Based Infrared Microscopy. Radboud Summer School, Radboud University, Nijmegen, The Netherlands (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.: Machine Learning Accelerated Materials Discovery for Energy Conversion and Storage. Group Retreat, TUM Chair for Solid-State Electrolyte Chemistry (Prof. Rupp), Starnberg, Germany (2024)

Roldan Cuenya, B.: Beyond Static Models: Chemical Dynamics in Energy Conversion Catalysts. 18th International Congress on Catalysis, ICC18, Lyon, France (2024)

Roldan Cuenya, B.: A Catalyst Life and Its Circumstances. 9th EuChemS Chemistry Congress, ECC-9, Dublin, Ireland (2024)

Roldan Cuenya, B.: A Catalyst Life and Its Circumstances. 9th EuChemS Chemistry Congress, ECC-9, Dublin, Ireland (2024)