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

Feng, S.; Gong, Y.; Neugebauer, J.; Raabe, D.; Liotti, E.; Grant, P. S.: Multi-technique investigation of Fe-rich intermetallic compounds for more impurity-tolerant Al alloys. Annual Meeting of DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (SKM) 2024, Berlin, Germany (2024)

Neugebauer, J.; Tehranchi, A.; Mathews, P.; Yang, J.; Todorova, M.; Hickel, T.: Metastable Defect Phase Diagrams as a road map for defect design. TMS Annual Meeting, Orlando, FL, USA (2024)

Todorova, M.; Surendralal, S.; Yang, J.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Ab initio insights into atomistic processes at electrified solid/liquid interface. DPG Spring Meeting, Berlin, Germany (2024)

Todorova, M.; Surendralal, S.; Yang, J.; Neugebauer, J.: Using ab initio calculations to unravel atomistic processes at electrified solid/ liquid interfaces. 63rd Sanibel Symposium, St. Augustine, FL, USA (2024)

Neugebauer, J.; Deißenbeck, F.; Wippermann, S. M.; Todorova, M.: Discovery of Fundamental Reaction Mechanisms at Electrochemical Interfaces by Quantum Simulations. 63rd Sanibel Symposium, St. Augustine, FL, USA (2024)

Zhu, L.-F.: Method developments on melting property calculations and further applications. 4th German-Austrian Workshop, Kirchdorf, Austria (2024)

Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. MPCDF Workshop “High-performance computing, artificial intelligence, and data-intensive applications in the Max-Planck Society”, Schloss Ringberg, Tegernsee, Germany (2023)

Zhou, X.; Ahmadian, A.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Atomic Scale Analysis Reveals the Interplay between Grain Boundary Structure and Composition. MRS 2023, Boston, MA, USA (2023)

Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. AI MSE 2023 - Artificial Inteligence in Materials Science and Engineering, Saarbrücken, Germany (2023)

Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into electrochemical solid/liquid interfaces under potential control from first principles and atomistic calculations. TACO Colloquium, Universität Wien, Vienna, Austria (2023)

Bitzek, E.: Towards High-Throughput Atomistic Microstructure – Mechanics Simulations. Ab initio Description of Iron and Steel (ADIS2023): Digitalization and Workflows, Schloss Ringberg, Germany (2023)

Bitzek, E.: Atomistic Simulations, Mesoscale Modelling and Micromechanical Testing of Crack – Microstructure Interactions. XVII International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS 2023), Barcelona, Spain (2023)

Freysoldt, C.; Katnagallu, S.; Bhatt, S.; Saxena, A.; Ashton, M. W.: Pushing the limits of APT and FIM by pushing theoretical approaches. APT & M 2023, Leuven, Belgium (2023)

Neugebauer, J.; Freysoldt, C.; Todorova, M.; Van de Walle, C. G.: Charged defects in semiconductors and beyond. 32nd International Conference on Defects in Semiconductors, Rehoboth Beach, DE, USA (2023)

Neugebauer, J.; Körmann, F.; Ferrari, A.: Navigating and exploiting the high-dimensional configuration spaces of high entropy alloys. The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic (2023)

Zhu, L.-F.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential. The third generation (3G) Calphad at KTH, Stockholm, Sweden (2023)

Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.: Perspectives for machine learning applied to data-rich experiments on complex materials. Materials Chain International Conference, Bochum, Germany (2023)