Khorrami, M. S.; Mianroodi, J. R.; Svendsen, B.: Finite-deformation phase-field microelasticity with application to dislocation core and reaction modeling in fcc crystals. Journal of the Mechanics and Physics of Solids 164, 104897 (2022)
Gierden, C.; Kochmann, J.; Waimann, J.; Svendsen, B.; Reese, S.: A Review of FE-FFT-Based Two-Scale Methods for Computational Modeling of Microstructure Evolution and Macroscopic Material Behavior. Archives of Computational Methods in Engineering 29, pp. 4115 - 4135 (2022)
Gierden, C.; Waimann, J.; Svendsen, B.; Reese, S.: A geometrically adapted reduced set of frequencies for a FFT-based microstructure simulation. Computer Methods in Applied Mechanics and Engineering 386, 114131 (2021)
Gierden, C.; Waimann, J.; Svendsen, B.; Reese, S.: FFT-based simulation using a reduced set of frequencies adapted to the underlying microstructure. Computer Methods in Materials Science 21 (1), pp. 51 - 58 (2021)
Shanthraj, P.; Liu, C.; Akbarian, A.; Svendsen, B.; Raabe, D.: Multi-component chemo-mechanics based on transport relations for the chemical potential. Computer Methods in Applied Mechanics and Engineering 365, 113029 (2020)
Mianroodi, J. R.; Svendsen, B.: Effect of Twin Boundary Motion and Dislocation-Twin Interaction on Mechanical Behavior in Fcc Metals. Materials 13 (10), 2238 (2020)
Alipour, A.; Reese, S.; Svendsen, B.; Wulfinghoff, S.: A grain boundary model considering the grain misorientation within a geometrically nonlinear gradient-extended crystal viscoplasticity theory. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476 (2235), 20190581 (2020)
Svendsen, B.: Constitutive relations for polar continua based on statistical mechanics and spatial averaging. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476 (2233), 20190407 (2020)
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.