Marian, J.; Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.: Unraveling the temperature dependence of the yield strength of tungsten single crystals using atomistically-informed crystal plasticity. 8th International Conference on Multiscale Materials Modeling, MMM2016, Dijon, France (2016)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Marian, J.: Unraveling the temperature dependence of the yield strength in BCC metals from atomistically-informed crystal plasticity calculation. Dislocations 2016, Purdue University, West Lafayette, IN, USA (2016)
Diehl, M.; Eisenlohr, P.; Shanthraj, P.; Roters, F.: Using the Spectral Solver. 5th International Symposium on Computational Mechanics of Polycrystals, CMCn 2016 and first DAMASK User Meeting, Düsseldorf, Germany (2016)
Diehl, M.; Naunheim, Y.; Morsdorf, L.; An, D.; Roters, F.; Raabe, D.: Crystal Plasticity Simulations on Real Data: Towards Highly Resolved 3D Microstructures. 26th International Workshop on Computational Mechanics of Materials - IWCMM 26, Tomsk, Russia (2016)
Wong, S. L.; Roters, F.: Multiscale micromechanical modelling for advanced high strength steels including both the TRIP and TWIP effect. MSE 2016, Darmstadt, 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)
Demura, M.; Raabe, D.; Roters, F.; Hirano, T.: Computational analysis of irregular rolling deformation in Nickel Aluminide single crystals. Thermec 2016, Graz, Austria (2016)
Liu, B.; Arsenlis, T.; Raabe, D.; Roters, F.: Interfacial dislocation motion in single-crystal superalloys: dislocation interactions, vacancy supersaturation, and directional coarsening. Plasticity '16: The 22nd International Symposium on Plasticity & Its Cur
rent Applications
, Keauhou Bay, HI, USA (2016)
Roters, F.; Zhang, S.; Shantraj, P.: Including damage modelling into crystal plasticity simulation. Plasticity '16: The 22nd International Symposium on Plasticity & Its Cur
rent Applications
, Keauhou Bay, HI, USA (2016)
Wong, S. L.; Roters, F.: Multiscale micromechanical modelling for advanced high strength steels including both the TRIP and TWIP effect. Thermec 2016, Graz, Austria (2016)
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.
The Ni- and Co-based γ/γ’ superalloys are famous for their excellent high-temperature mechanical properties that result from their fine-scaled coherent microstructure of L12-ordered precipitates (γ’ phase) in an fcc solid solution matrix (γ phase). The only binary Co-based system showing this special type of microstructure is the Co-Ti system…
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.