Haley, D.; Merzlikin, S. V.; Choi, P.-P.; Raabe, D.: Atom probe tomography observation of hydrogen in high-Mn steel and silver charged via an electrolytic route. International Journal of Hydrogen Energy 39 (23), pp. 12221 - 12229 (2014)
Gutiérrez-Urrutia, I.; Raabe, D.: High strength and ductile low density austenitic FeMnAlC steels: Simplex and alloys strengthened by nanoscale ordered carbides. Materials Science and Technology 30 (9), pp. 1099 - 1104 (2014)
Mandal, S.; Pradeep, K. G.; Zaefferer, S.; Raabe, D.: A novel approach to measure grain boundary segregation in bulk polycrystalline materials in dependence of the boundaries’ five rotational degrees of freedom. Scripta Materialia 81, pp. 16 - 19 (2014)
Reuber, J. C.; Eisenlohr, P.; Roters, F.; Raabe, D.: Dislocation density distribution around an indent in single-crystalline nickel: Comparing nonlocal crystal plasticity finite-element predictions with experiments. Acta Materialia 71, pp. 333 - 348 (2014)
Pierce, D. T.; Jiménez, J. A.; Bentley, J.; Raabe, D.: The influence of manganese content on the stacking fault and austenite/epsilon-martensite interfacial energies in Fe–Mn–(Al–Si) steels investigated by experiment and theory. Acta Materialia 68, pp. 238 - 253 (2014)
Pradeep, K. G.; Herzer, G.; Choi, P.; Raabe, D.: Atom probe tomography study of ultrahigh nanocrystallization rates in FeSiNbBCu soft magnetic amorphous alloys on rapid annealing. Acta Materialia 68, pp. 295 - 309 (2014)
He, D.; Zhu, J.; Zaefferer, S.; Raabe, D.: Effect of retained beta layer on slip transmission in Ti–6Al–2Zr–1Mo–1V near alpha titanium alloy during tensile deformation at room temperature. Materials and Design 56, pp. 937 - 942 (2014)
Zhu, M.; Sun, D.; Pan, S.; Zhang, Q.; Raabe, D.: Modelling of dendritic growth during alloy solidification under natural convection. Modelling and Simulation in Materials Science and Engineering 22 (3), 034006 (2014)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…