Shah, V.; Sedighiani, K.; Van Dokkum, J. S.; Bos, C.; Roters, F.; Diehl, M.: Coupling crystal plasticity and cellular automaton models to study meta- dynamic recrystallization during hot rolling at high strain rates. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 849, 143471 (2022)
Shah, V.; Krugla, M.; Offerman, S. E.; Sietsma, J.; Hanlon, D. N.: Effect of silicon, manganese and heating rate on the ferrite recrystallization kinetics. ISIJ International 60 (6), pp. 1312 - 1323 (2020)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites for Recrystallization using Crystal Plasticity Simulations. 7th International Conference on Recrystallization and Grain Growth, Ghent, Belgium (2019)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites During Recrystallization. M2i conference “Meeting Materials”, Noordwijkerhout, The Netherlands (2018)
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 plan to investigate the rate-dependent tensile properties of 2D materials such as HCP metal thin films and PbMoO4 (PMO) films by using a combination of a novel plan-view FIB based sample lift out method and a MEMS based in situ tensile testing platform inside a TEM.
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…
About 90% of all mechanical service failures are caused by fatigue. Avoiding fatigue failure requires addressing the wide knowledge gap regarding the micromechanical processes governing damage under cyclic loading, which may be fundamentally different from that under static loading. This is particularly true for deformation-induced martensitic…
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
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…