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Neugebauer, J.; Menon, S.: Maximizing High-Throughput Discovery and Machine Learning Efficiency Through Computational Workflows. Machine Learning Modalities for Materials science, Ljubljana, Slovenia (2024)

Stein, F.; Distl, B.: About the ternary ωo and O phase in the Ti–Al + Nb system. Calphad 2024, 51st Int. Conf. on Computer Coupling of Phase Diagrams and Thermochemistry, Mannheim, Germany (2024)

Todorova, M.; Yang, J.; Surendralal, S.; Yoo, S.-H.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into Atomistic Processes at Electrified Solid/Liquid Interfaces from Ab Initio Calculations. 245th ECS Meeting, San Francisco, CA, USA (2024)

Vacirca, D.; Bignoli, F.; Li Bassi, A.; Best, J. P.; Dehm, G.; Faurie, D.; Djemia, P.; Ghidelli, M.: Boosting mechanical properties of thin film high entropy alloys through nanoengineering design strategies. 16th International Conference on Local Mechanical Properties, Prague, Czech Republic (2024)

Neugebauer, J.; Tehranchi, A.; Mathews, P.; Yang, J.; Todorova, M.; Hickel, T.: Metastable Defect Phase Diagrams as a road map for defect design. FLAIR Colloquium talk, Technical University Darmstadt, Darmstadt, Germany (2024)

Todorova, M.; Yoo, S.-H.; Yang, J.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: First-principles modelling of electrified solid-liquid interfaces – from reaction mechanisms to synthesis. First-principles modeling and machine learning approaches in simulations of technologically relevant materials, Linköping, Sweden (2024)

Zhou, X.; Wei, S.; Raabe, D.: Segregation-Driven Mechanics of White Gold at the Nanoscale: A Cursing or Blessing? Schöntal Symposium on Dislocation-based Plasticity 2024, Kloster Schöntal, Germany (2024)

Umate, K. S.; Bai, Y.; Svendsen, B.; Raabe, D.: Phase-field model for Hydrogen based direct reduction of iron oxides: Role of porosity. TMS - Algorithm Development in Materials Science and Engineering, Orlando, FL, USA (2024)

Bitzek, E.; Eggle-Sievers, B.: Screw Dislocations and Crack-Tip Plasticity in Tungsten: an Atomistic Study. Colloque Plasticité, Marseille, France (2024)

Li, Y.; Gault, B.: Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloy. TMS 2023, San Diego, CA, USA (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)

Raabe, D.: Transport and phase transformations phenomena in sustainable hydrogen-based steel production. 87th Spring Meeting of the German Physical Society, Berlin, Germany (2024)

Rohwerder, M.: From Fundamental Mechanisms of Delamination to Self-Healing Coating Systems. CorroZoom Webinar, Online (2024)

Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.; Saikia, U.: Perspectives for machine learning applied to data-rich experiments on complex materials. Kolloquium Transregio 270 at Universität Duisburg-Essen, Duisburg, Germany (2024)

Bitzek, E.: An atomistic Perspective on Fracture Toughness of inorganic Materials. FRASCAL Colloquium, Erlangen, Germany (2024)

Raabe, D.: Atomic-Scale Perspective at Alloy-Design for Additive Manufacturing. 2024 TMS Annual Meeting, Orlando, FL, USA (2024)

Zhang, S.: Multivariate statistical analysis using Hyperspy. Electron Microscopy Spring School 2024, Berlin, Germany (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)

Raabe, D.: The Two Billion Tonnes Question: How Can Research Help to Make Metals Sustainable? 2024 TMS Annual Meeting, Orlando, Florida, USA (2024)

Scheu, C.: Spectroscopy. Electron Microscopy Spring School of the yDGE, Berlin, Germany (2024)