He, Z. F.; Jia, N.; Ma, D.; Yan, H.-L.; Li, Z.; Raabe, D.: Joint contribution of transformation and twinning to the high strength-ductility combination of a FeMnCoCr high entropy alloy at cryogenic temperatures. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 759, pp. 437 - 447 (2019)
Wang, Z.; Lu, W.; Raabe, D.; Li, Z.: On the mechanism of extraordinary strain hardening in an interstitial high-entropy alloy under cryogenic conditions. Journal of Alloys and Compounds 781, pp. 734 - 743 (2019)
Wu, M.; Li, Z.; Gault, B.; Munroe, P.; Baker, I.: The Effects of Carbon on the Phase Stability and Mechanical Properties of Heat-Treated FeNiMnCrAl High Entropy Alloys. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 748, pp. 59 - 73 (2019)
Su, J.; Raabe, D.; Li, Z.: Hierarchical microstructure design to tune the mechanical behavior of an interstitial TRIP-TWIP high-entropy alloy. Acta Materialia 163, pp. 40 - 54 (2019)
Ou, P.; Li, Z.: Ordering of primary carbonitrides in an austenitic steel revealed by transmission electron microscopy and atom probe tomography. Materials 11 (11), 2321 (2018)
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