Roters, F.; Eisenlohr, P.; Tjahjanto, D. D.; Kords, C.; Diehl, M.; Raabe, D.: DAMASK: The Düsseldorf Advanced Material Simulation Kit for studying crystal plasticity using FEM and FFT based numerical solvers. 18th International Symposium on Plasticity & Its Current Applications, San Juan, Puerto Rico (2012)
Kords, C.; Jäpel, T.; Eisenlohr, P.; Roters, F.: Residual stress prediction by considering dislocation density advection in 3D applied to single-crystal bending. Euromat 2011, Montpellier, France (2011)
Kords, C.; Jäpel, T.; Eisenlohr, P.; Roters, F.: Residual stress prediction by considering dislocation density advection in 3D applied to single-crystal bending. 2nd International Conference on Material Modelling ICMM 2, Paris, France (2011)
Roters, F.; Diehl, M.; Eisenlohr, P.; Lebensohn, R. A.: Solving finite-deformation crystal elasto-viscoplasticity with a fast Fourier transformation-based spectral method. 2nd International Conference on Material Modelling ICMM 2, Paris, France (2011)
Steinmetz, D.; Roters, F.; Eisenlohr, P.; Raabe, D.: A dislocation density-based constitutive model for TWIP steels. 1st International Conference on High Manganese Steels, Seoul, South Korea (2011)
Roters, F.; Eisenlohr, P.; Raabe, D.: Eine modulare Kristallplastizitäts Implementierung für Anwendungen vom Einkristall bis zum Bauteil. 14. Workshop Simulation in der Umformtechnik, Dortmund, Germany (2011)
Roters, F.: Kombination von atomistischen und kontinuumsmechanischen numerischen Werkzeugen für die Entwicklung neuer (Leichtbau-)Werkstoffe. InnoMateria 2011, Köln, Germany (2011)
Eisenlohr, P.; Roters, F.; Kords, C.; Diehl, M.; Lebensohn, R.A.; Raabe, D.: Combining characterization and simulation of grain-scale plasticity in three dimensions. EBSD Conference 2011 of the Royal Microscopical Society, Düsseldorf, Germany (2011)
Roters, F.; Eisenlohr, P.; Tjahjanto, D. D.; Kords, C.; Raabe, D.: A modular crystal plasticity framework applicable from component to single grain scale. IUTAM Symposium Linking Scales in Computations: From Microstructure to Macro-scale Properties, Pensacola, FL, USA (2011)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: How to capture mesoscale plastic strain gradient effects in a physical way -- a look at dislocation mechanics and computational aspects. MST Symposium, Los Alamos National Laboratory, Los Alamos, NM, USA (2011)
Eisenlohr, P.; Diehl, M.; Roters, F.; Lebensohn, R.A.: Solving finite-deformation crystal elasto-viscoplasticity with a fast Fourier transformation-based spectral method. TMS Annual Meeting, San Diego, CA, USA (2011)
Diehl, M.; Eisenlohr, P.; Lebensohn, R. A.; Roters, F.: A spectral method using fast Fourier transform to solve elastoviscoplastic mechanical boundary value problems. Lehrstuhl für Werkstoffkunde und Werkstoffmechanik, TU München, München, Germany (2011)
Diehl, M.; Eisenlohr, P.; Roters, F.; Lebensohn, R. A.; Raabe, D.: Solving Elastoviscoplastic Mechanical Boundary Value Using a Spectral Method. Evaluierung des Christian-Doppler-Laboratorium für Werkstoffmechanik von Hochleistungslegierungen, Garching, Germany (2010)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.