Diehl, M.: Crystal Plasticity Simulations on Real Data: Towards Highly Resolved 3D Microstructures. Seminar des Instituts für Mechanik, KIT, Karlsruhe, Germany (2016)
Roters, F.; Diehl, M.; Shanthraj, P.: Crystal Plasticity Simulations - Fundamentals, Implementation, Application. Micromechanics of Materials, Zernike Institute for Advanced Materials, University of Groningen
, Groningen, The Netherlands (2016)
Roters, F.; Diehl, M.; Shanthraj, P.: DAMASK Evolving From a Crystal Plasticity Subroutine Towards a Multi-Physics Simulation Tool. Focus Group Meeting “Metals”, SPP 1713, Bad Herrenalb, Germany (2016)
Roters, F.; Zhang, C.; Eisenlohr, P.; Shanthraj, P.; Diehl, M.: On the usage of HDF5 in the DAMASK crystal plasticity toolkit. 2nd International Workshop on Software Solutions for Integrated Computational Materials Engineering - ICME 2016, Barcelona, Spain (2016)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: An atomistically-informed crystal plasticity model to predict the temperature dependence of the yield strength of single-crystal tungsten. XXV International Workshop on Computational Micromechanics of Materials, Bochum, Germany (2015)
Diehl, M.; Eisenlohr, P.; Roters, F.; Shanthraj, P.; Reuber, J. C.; Raabe, D.: DAMASK: The Düsseldorf Advanced Material Simulation Kit for studying crystal plasticity using an FE based or a spectral numerical solver. Seminar of the Centro Nacional de Investigaciones Metalúrgicas (CENIM) del CSIC , Madrid, Spain (2015)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we employ atomistic computer simulations to study grain boundaries. Primarily, molecular dynamics simulations are used to explore their energetics and mobility in Cu- and Al-based systems in close collaboration with experimental works in the GB-CORRELATE project.
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.
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].