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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…