Kreiner, G.; Grüner, D.; Grin, Y.; Stein, F.; Palm, M.; Ormeci, A.: Structure and disorder of the Laves phases in the Co–Nb system. MRS Fall Meeting 2009, Boston, MA, USA, November 30, 2009 - December 04, 2009. MRS Fall Meeting 2009 1128, pp. 487 - 492 (2009)
Prymak, O.; Stein, F.; Kerkau, A.; Ormeci, A.; Kreiner, G.; Frommeyer, G.; Raabe, D.: Phase equilibria in the ternary Nb–Cr–Al system and site occupation in the hexagonal C14 Laves phase Nb(AlxCr1–x)2. In: Materials Research Society Symposium Proceedings, pp. 499 - 504 (Ed. Proceedings, M. S.). Materials Research Society Symposium. (2009)
Voß, S.; Stein, F.; Grüner, D.; Kreiner, G.; Frommeyer, G.; Raabe, D.: Composition Dependence of the Hardness of Laves Phases in the Fe–Nb and Co–Nb Systems. In: Materials Research Society Symposium Proceedings, Vol. 1128, pp. 469 - 474. 2008 MRS Fall Meeting, Boston, MA, USA, December 01, 2008 - December 04, 2008. Materials Research Society, Warrendale, PA, USA (2009)
Siggelkow, L.; Kreiner, G.; Palm, M.; Stein, F.: Synthese und Eigenschaften der intermetallischen Phasen Nb2Co7. Workshop "The Nature of Laves Phases VIII", Düsseldorf, Germany (2004)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Thermo-chemo-mechanical interactions due to thermally activated and/or mechanically induced processes govern the constitutive behaviour of metallic alloys during production and in service. Understanding these mechanisms and their influence on the material behaviour is of very high relevance for designing new alloys and corresponding…
Electron channelling contrast imaging (ECCI) is a powerful technique for observation of extended crystal lattice defects (e.g. dislocations, stacking faults) with almost transmission electron microscopy (TEM) like appearance but on bulk samples in the scanning electron microscope (SEM).
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.