Bieler, T. R.; Crimp, M. A.; Yang, Y.; Wang, L.; Eisenlohr, P.; Mason, D. E.; Liu, W.; Ice, G. E.: Strain Heterogeneity and Damage Nucleation at Grain Boundaries during Monotonic Deformation in Commercial Purity Titanium. Journal of Microscopy 61 (12), pp. 45 - 52 (2009)
Bieler, T. R.; Eisenlohr, P.; Roters, F.; Kumar, D.; Mason, D. E.; Crimp, M. A.; Raabe, D.: The role of heterogeneous deformation on damage nucleation at grain boundaries in single phase metals. International Journal of Plasticity 25 (9), pp. 1655 - 1683 (2009)
Eisenlohr, P.; Milička, K.; Blum, W.: Dislocation glide velocity in creep of Mg-alloys derived from dip tests. Materials Science and Engineering A 510-511, pp. 393 - 397 (2009)
Eisenlohr, P.; Tjahjanto, D. D.; Hochrainer, T.; Roters, F.; Raabe, D.: Comparison of texture evolution in fcc metals predicted by various grain cluster homogenization schemes. International Journal of Materials Research 100 (4), pp. 500 - 509 (2009)
Kumar, P.; Kassner, M. E.; Blum, W.; Eisenlohr, P.; Langdon, T. G.: New observations on high-temperature creep at very low stresses. Materials Science and Engineering A 510-511, pp. 20 - 24 (2009)
Eisenlohr, P.; Sadrabadi, P.; Blum, W.: Quantifying the distributions of dislocation spacings and cell sizes. Journal of Materials Science 43, pp. 2700 - 2707 (2008)
Kumar, D.; Bieler, T. R.; Eisenlohr, P.; Mason, D. E.; Crimp, M. A.; Roters, F.; Raabe, D.: On Predicting Nucleation of Microcracks Due to Slip-Twin Interactions at Grain Boundaries in Duplex gamma-TiAl. Journal of Engineering and Materials Technology 130 (02), pp. 021012-1 - 021012-12 (2008)
Zeng, X. H.; Eisenlohr, P.; Blum, W.: Modelling the transition from strengthening to softening due to grain boundaries. Material Science and Engineering A 483-484, pp. 95 - 98 (2008)
Tjahjanto, D. D.; Roters, F.; Eisenlohr, P.: Iso-Work-Rate Weighted-Taylor Homogenization Scheme for Multiphase Steels Assisted by Transformation-induced Plasticity Effect. Steel Research International 78 (10/11), pp. 777 - 783 (2007)
Eisenlohr, P.; Blum, W.: Bridging steady-state deformation behavior at low and high temperature by considering dislocation dipole annihilation. Material Science and Engineering A 400 - 401, pp. 175 - 181 (2005)
Eisenlohr, P.; Winning, M.; Blum, W.: Migration of subgrain boundaries under stress in bi- and multi-granular structures. Physica Status Solidi 200 (2), pp. 339 - 345 (2003)
Roters, F.; Eisenlohr, P.; Bieler, T. R.; Raabe, D.: Crystal Plasticity Finite Element Methods in Materials Science and Engineering. Wiley-VCH, Weinheim (2010), 197 pp.
Shanthraj, P.; Diehl, M.; Eisenlohr, P.; Roters, F.; Raabe, D.: Spectral Solvers for Crystal Plasticity and Multi-physics Simulations. In: Handbook of Mechanics of Materials, pp. 1347 - 1372 (Eds. Hsueh, C.-H.; Schmauder, S.; Chen, C.-S.; Chawla, K. K.; Chawla, N. et al.). Springer, Singapore (2019)
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.