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.; Kords, C.; Roters, F.; Raabe, D.: A non-local constitutitve hardening model based on polar dislocation densities. IV European Conf. Comp. Mech. ECCM 2010, Paris, France (2010)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: A non-local crystal plasticity model based on polar dislocation densities. 16th Int. Symp. on Plasticity and Its Current Applications, St. Kitts, St. Federation of Saint Kitts and Nevis (2010)
Kords, C.; Eisenlohr, P.; Roters, F.: Signed dislocation densities and their spatial gradients as basis for a nonlocal crystal plasticity model. MMM 2010 Fifth International Conference Multiscale Materials Modeling, Freiburg, Germany (2010)
Kords, C.; Eisenlohr, P.; Roters, F.: A Non-Local Dislocation Density Based Constitutive Model for Crystal Plasticity. Junior Euromat 2010, Lausanne, Switzerland (2010)
Kords, C.: On the role of dislocation transport in the constitutive description of crystal plasticity. Dissertation, RWTH Aachen, Aachen, Germany (2013)
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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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.