Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Roters, F.: Neighborhood influences on stress and strain partitioning in dual-phase microstructures. An investigation on synthetic polycrystals with a robust spectral-based numerical method. Meccanica 51 (2), pp. 429 - 441 (2016)
Friák, M.; Tytko, D.; Holec, D.; Choi, P.-P.; Eisenlohr, P.; Raabe, D.; Neugebauer, J.: Synergy of atom-probe structural data and quantum-mechanical calculations in a theory-guided design of extreme-stiffness superlattices containing metastable phases. New Journal of Physics 17 (9), 093004 (2015)
Tjahjanto, D. D.; Eisenlohr, P.; Roters, F.: Multiscale deep drawing analysis of dual-phase steels using grain cluster-based RGC scheme. Modelling and Simulation in Materials Science and Engineering 23 (4), 045005 (2015)
Shanthraj, P.; Eisenlohr, P.; Diehl, M.; Roters, F.: Numerically robust spectral methods for crystal plasticity simulations of heterogeneous materials. International Journal of Plasticity 66, pp. 31 - 45 (2015)
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)
Blum, W.; Dvořák, J.; Král, P. T. K.; Eisenlohr, P.; Sklenička, V.: Effect of grain refinement by ECAP on creep of pure Cu. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 590, pp. 423 - 432 (2014)
Eisenlohr, P.; Diehl, M.; Lebensohn, R. A.; Roters, F.: A spectral method solution to crystal elasto-viscoplasticity at finite strains. International Journal of Plasticity 46, pp. 37 - 53 (2013)
Wang, L.; Barabash, R.; Bieler, T.; Liu, W.; Eisenlohr, P.: Study of {1121} Twinning in alpha-Ti by EBSD and Laue Microdiffraction. Metallurgical and Materials Transactions A 44 (8), pp. 3664 - 3674 (2013)
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
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…
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…
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.