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)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…