Pei, Z.; Yin, J.; Liaw, P. K.; Raabe, D.: Author Correction: Toward the design of ultrahigh-entropy alloys via mining six million texts. Nature Communications 14 (1), 3588 (2023)
Sukumar Prithiv, T.; Gault, B.; Li, Y.; Andersen, D.; Valle, N.; Eswara, S.; Ponge, D.; Raabe, D.: Austenite grain boundary segregation and precipitation of boron in low-C steels and their role on the heterogeneous nucleation of ferrite. Acta Materialia 252, 118947 (2023)
Kishida, K.; Okutani, M.; Suzuki, H.; Inui, H.; Heilmaier, M.; Raabe, D.: Room-temperature deformation of single crystals of the sigma-phase compound FeCr with the tetragonal D8b structure investigated by micropillar compression. Acta Materialia 249, 118829 (2023)
Pei, Z.; Yin, J.; Liaw, P. K.; Raabe, D.: Toward the design of ultrahigh-entropy alloys via mining six million texts. Nature Communications 14, 54 (2023)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…