Fernández, M.; Rezaei, S.; Mianroodi, J. R.; Fritzen, F.; Reese, S.: Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. Advanced Modeling and Simulation in Engineering Sciences 7, 1 (2020)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this ongoing project, we investigate spinodal fluctuations at crystal defects such as grain boundaries and dislocations in Fe-Mn alloys using atom probe tomography, electron microscopy and thermodynamic modeling [1,2].
The aim of the Additive micromanufacturing (AMMicro) project is to fabricate advanced multimaterial/multiphase MEMS devices with superior impact-resistance and self-damage sensing mechanisms.