Publications

Zhu, L.-F.; Körmann, F.; Chen, Q.; Selleby, M.; Neugebauer, J.; Grabowski, B.: Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW. npj Computational Materials 10 (1), 274 (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)

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)

Schneider, M.; Couzinie, J.-P.; Shalabi, A.; Ibrahimkhel, F.; Ferrari, A.; Koermann, F.; Laplanche, G.: Effect of stacking fault energy on the thickness and density of annealing twins in recrystallized FCC medium and high-entropy alloys. Scripta Materialia 240, 115844 (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)