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
We will investigate the electrothermomechanical response of individual metallic nanowires as a function of microstructural interfaces from the growth processes. This will be accomplished using in situ SEM 4-point probe-based electrical resistivity measurements and 2-point probe-based impedance measurements, as a function of mechanical strain and…
Developing and providing accurate simulation techniques to explore and predict structural properties and chemical reactions at electrified surfaces and interfaces is critical to surmount materials-related challenges in the context of sustainability, energy conversion and storage. The groups of C. Freysoldt, M. Todorova and S. Wippermann develop…
ECCI is an imaging technique in scanning electron microscopy based on electron channelling applying a backscatter electron detector. It is used for direct observation of lattice defects, for example dislocations or stacking faults, close to the surface of bulk samples.
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…