Place: Computational Materials Design Department, Max-Planck-Institut für Eisenforschung Düsseldorf, Germany
Martin Friák, Department of Computational Materials Design, MPIE Max Planck Institut für Eisenforschung GmbH, Düsseldorf, Germany
State-of-the-art ab initio methods constitute a solid basis of modern materials science and materials design. In order to properly address complex multi-scale phenomena that are frequently found in industrially-important materials as well as biomaterials, the theoretical research at atomistic level is increasingly combined with meso-and macro-scale approaches as well as advanced experimental techniques. Such multi-disciplinary modeling strategies will be exemplified by a scale-bridging approach to the integral elastic response of (i) multi-phase metallic polycrystals and (ii) biomaterials with hierarchical microstructure. Both topics combine (i) single crystal thermodynamic and elastic stiﬀness data determined by parameter-free ﬁrst-principles calculations and (ii) case-speciﬁc homogenization schemes. Due to the fact that the mathematical backbone of our coarse-graining approach could be non-linear, its error-propagation properties have been investigated and the dependence of the final output parameters on the scale-transferred ab initio input data is shown. The reliability and error-bars of the methodology are cross-validated against the experimental data for a few selected systems, specifically (i) Ti-Nb alloys intended for medical applications , (ii) ultra light-weight Mg-Li alloys , and (iii) hierarchical chitin-based biocomposites .
- D. Raabe, B. Sander, M. Friák, D. Ma, and J. Neugebauer: Theory-guided bottom-up design of β-titanium alloys as biomaterials based on ﬁrst principles calculations: Theory and experiments, Acta Materialia 55, 4475 (2007).
- W. A. Counts, M. Friák, D. Raabe, and J. Neugebauer: Using ab initio calculations in designing bcc Mg-Li alloys for ultra light-weight applications; Acta Materialia 57, 69 (2009).
- S. Nikolov, C. Sachs, H. Fabritius, D. Raabe, M. Petrov, M. Friák, J. Neugebauer, L. Lymperakis, and D. Ma: Hierarchical modeling of the mechanical properties of lobster cuticle from nano-up to macroscale: The inﬂuence of the mineral content and the microstructure; Advanced Materials, accepted (2009).