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Eibenberger Arias, S.: Quantum State Control of Chiral Molecules. Conference, Cold and Controlled Molecules & Ions 2024, CCMI 2024, Klosterneuburg, Austria (2024)

Foppa, L.: From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery. Meeting on Mathematics and Computer Science for Materials Innovation, MACSMIN 2024, University of Liverpool, Liverpool, UK (2024)

Friedrich, B.: The Spectrum of He+ as a Proving Ground for Bohr’s Model of the Atom: A Legacy of Williamina Fleming’s Astrophysical Discovery. 11th ESHS conference, European Society for the History of Science, Barcelona, Spain (2024)

Gelžinytė, E.: Modelling Tensorial Properties for Predicting Permittivity and NMR Experiments. Workshop, GAP/(M)ACE Developers & Users Meeting 2024, Berlin, Germany (2024)

Harper, A. F.: Tracking Li Atoms in Real-Time With Ultra-Fast NMR Simulations. Faraday Discussions, Birmingham, UK (2024)

Kley, C.: Nanoscale in Situ Insights Into Electrode Surfaces and Electrochemical Interfaces. 10th International Workshop on Surface Physics, IWSP-2024, Niemcza, Poland (2024)

Kley, C.: Nanoscale in Situ Insights Into Electrode Surfaces and Electrochemical Interfaces. Conference on Molecular Nanoscience 2024, Ascona, Switzerland (2024)

Lunkenbein, T.: The Cu/ZnO/Al₂O₃ system - Insights into the ZnO_x dynamics by operando electron microscopy. Challenges on the Renewable Energy Storage Conference, Liblice, Czech Republic (2024)

Lunkenbein, T.: The Dynamics of a Cu/ZnO/Al₂O₃ Catalyst Revealed by Operando TEM. Challenges on the Renewable Energy Storage Conference, Liblice, Czech Republic (2024)

Meijer, G.: About Thermionic Emission, Autoionization and Associative Ionization. Conference on Molecular Nanoscience 2024, Ascona, Switzerland (2024)

Meijer, G.: About Coincidences, Opportunities and Hidden Gems. MPG LeadNet Symposium, Berlin, Germany (2024)

Meijer, G.: About Thermionic Emission, Autoionization and Associative Ionization. Max Planck Institute for Multidisciplinary Sciences, Online (2024)

Panosetti, C.: Black Box vs Gray Box: Semiempirical Methods in the Era of Machine Learning. GAP/(M)ACE Developers & Users Meeting 2024, Berlin, Germany (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)

Roldan Cuenya, B.: Life and Fate of Energy Conversion Electrocatalysts. Challenges on the Renewable Energy Storage Conference, Liblice, Czech Republic (2024)

Roldan Cuenya, B.: Life and Fate of Energy Conversion Electrocatalysts. Challenges on the Renewable Energy Storage Conference, Liblice, Czech Republic (2024)

Timoshenko, J.: Advanced XAS Data Analysis Approaches for Tracking Transformations of Working Electrocatalysts. SILS Conference 2024, Rende, Italy (2024)

Bluhm, H.: A Combined IR and Soft-X-Ray Beamline for Multimodal Interface Spectroscopy and Scattering. 15th International Conference on Synchrotron Radiation Instrumentation, SRI, Hamburg, Germany (2024)