Publications

Janßen, J.; Makarov, E.; Hickel, T.; Shapeev, A. V.; Neugebauer, J.: Automated optimization and uncertainty quantification of convergence parameters in plane wave density functional theory calculations. npj Computational Materials 10 (1), 263 (2024)

Menon, S.; Lysogorskiy, Y.; Knoll, A. L. M.; Leimeroth, N.; Poul, M.; Qamar, M.; Janssen, J.; Mrovec, M.; Rohrer, J.; Albe, K. et al.; Behler, J.; Drautz, R.; Neugebauer, J.: From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows. npj Computational Materials 10 (1), 261 (2024)

Tehranchi, A.; Zhang, S.; Zendegani, A.; Scheu, C.; Hickel, T.; Neugebauer, J.: Metastable defect phase diagrams as roadmap to tailor chemically driven defect formation. Acta Materialia 277, 120145 (2024)

Li, Y.; Colnaghi, T.; Gong, Y.; Zhang, H.; Yu, Y.; Wei, Y.; Gan, B.; Song, M.; Marek, A.; Rampp, M. et al.; Zhang, S.; Pei, Z.; Wuttig, M.; Ghosh, S.; Körmann, F.; Neugebauer, J.; Wang, Z.; Gault, B.: Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering. Advanced Materials 36 (44), 2407564 (2024)

Felten, M.; Chaineux, V.; Zhang, S.; Tehranchi, A.; Hickel, T.; Scheu, C.; Spille, J.; Lipińska-Chwałek, M.; Mayer, J.; Berkels, B. et al.; Hans, M.; Greving, I.; Flenner, S.; Sefa, S.; Zander, D.: The effect of Laves phases and nano-precipitates on the electrochemical corrosion resistance of Mg–Al–Ca alloys under alkaline conditions. Journal of Magnesium and Alloys 12 (6), pp. 2447 - 2461 (2024)

Chakraborty, P.; Mouton, I.; Gault, B.; Tehranchi, A.; Neugebauer, J.; Hickel, T.: Effect of Sn on stacking fault energies in zirconium and its hydrides. Physical Review Materials 8, 033605 (2024)

Zhu, L.-F.; Srinivasan, P.; Gong, Y.; Hickel, T.; Grabowski, B.; Körmann, F.; Neugebauer, J.: Melting properties of the refractory metals V and W and the binary VW alloy fully from first principles. Physical Review B 109, 094110 (2024)

Neugebauer, J.; Hickel, T.; Körmann, F.; Todorova, M.: Materials design and discovery in high-dimensional chemical and structural configuration spaces. Psi-k 2020 Conference, Lausanne, Switzerland (2024)

Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)

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

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)

Zaefferer, S.; Hickel, T.; Song, W.: Microstructures, Microscopy and Modelling. Lecture: SS 2024, RWTH Aachen University, 2024-04 - 2024-07