Amberger, D.; Eisenlohr, P.; Göken, M.: On the importance of a connected hard-phase skeleton for the creep resistance of Mg alloys. Acta Materialia 60, pp. 2277 - 2289 (2012)
Lebensohn, R.A.; Kanjarla, A.K.; Eisenlohr, P.: An elasto-viscoplastic formulation based on fast Fourier transforms for the prediction of micromechanical fields in polycrystalline materials. International Journal of Plasticity 32-33, pp. 59 - 69 (2012)
Yang, Y.; Wang, L.; Zambaldi, C.; Eisenlohr, P.; Barabash, R.; Liu, W.; Stoudt, M. R.; Crimp, M. A.; Bieler, T. R.: Characterization and Modeling of Heterogeneous Deformation in Commercial Purity Titanium. Journal of Microscopy 63 (9), pp. 66 - 73 (2011)
Blum, W.; Eisenlohr, P.: Structure Evolution and Deformation Resistance in Production and Application of Ultrafine-grained Materials -- the Concept of Steady-state Grains. Materials Science Forum 683, pp. 163 - 181 (2011)
Mekala, S.; Eisenlohr, P.; Blum, W.: Control of dynamic recovery and strength by subgrain boundaries - Insights from stress-change tests on CaF2 single crystals. Philosophical Magazine A 91 (6), pp. 908 - 931 (2011)
Yang, Y.; Wang, L.; Bieler, T.; Eisenlohr, P.; Crimp, M.: Quantitative Atomic Force Microscopy Characterization and Crystal Plasticity Finite Element Modeling of Heterogeneous Deformation in Commercial Purity Titanium. Metallurgical and Materials Transactions A 42 (3), pp. 636 - 644 (2011)
Amberger, D.; Eisenlohr, P.; Göken, M.: Influence of microstructure on creep strength of MRI 230D Mg alloy. Journal of Physics: Conference Series 240 (1), 012068, pp. 01268-1 - 01268-4 (2010)
Blum, W.; Eisenlohr, P.: A simple dislocation model of the influence of high-angle boundaries on the deformation behavior of ultrafine-grained materials. Journal of Physics: Conference Series 240 (1), 012136, pp. 012136-1 - 012136-4 (2010)
Liu, B.; Raabe, D.; Roters, F.; Eisenlohr, P.; Lebensohn, R. A.: Comparison of finite element and fast Fourier transform crystal plasticity solvers for texture prediction. Modelling and Simulation in Materials Science and Engineering 18 (8), 085005, pp. 085005-1 - 085005-21 (2010)
Tjahjanto, D. D.; Eisenlohr, P.; Roters, F.: A novel grain cluster-based homogenization scheme. Modelling and Simulation in Materials Science and Engineering 18 (1), 015006, pp. 015006-1 - 015006-21 (2010)
Wang, L.; Eisenlohr, P.; Yang, Y.; Bieler, T. R.; Crimp, M. A.: Nucleation of paired twins at grain boundaries in titanium. Scripta Materialia 63, pp. 827 - 830 (2010)
Wang, L.; Yang, Y.; Eisenlohr, P.; Bieler, T. R.; Crimp, M. A.; Mason, D. E.: Twin Nucleation by Slip Transfer across Grain Boundaries in Commercial Purity Titanium. Metallurgical and Materials Transactions A 41 (2), pp. 421 - 430 (2010)
Sadrabadi, P.; Eisenlohr, P.; Wehrhan, G.; Stäblein, J.; Parthier, L.; Blum, W.: Evolution of dislocation structure and deformation resistance in creep exemplified on single crystals of CaF2. Materials Science and Engineering A 510-511, pp. 46 - 50 (2009)
Amberger, D.; Eisenlohr, P.; Göken, M.: Microstructural evolution during creep of Ca-containing AZ91. Materials Science and Engineering A 510-511, pp. 398 - 402 (2009)
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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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…