Nikolov, S.; Raabe, D.: Hierarchical Modeling of the Elastistic Properties of Bone at Submicron Scales: The Role of Extrafibrillar Mineralization. Biophysical Journal 94, pp. 4220 - 4232 (2008)
Nikolov, S.; Lebensohn, R. A.; Raabe, D.: Self-consistent modeling of large plastic deformation, texture and morphology evolution in semi-crystalline polymers. Journal of the Mechanics and Physics of Solids 54 (7), pp. 1350 - 1375 (2006)
Nikolov, S.; Han, C. S.; Raabe, D.: On the origin of size effects in small-strain elasticity of solid polymers. International Journal of Solids and Structures 44, pp. 1582 - 1592 (2006)
Han, C. S.; Nikolov, S.: Frank energy and size dependent deformation in polymer. 13th International Symposium on Plasticity and its Current Applications, Alaska [USA], June 02, 2007 - June 06, 2007., (2008)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friak, M.; Neugebauer, J.; Lymperakis, L.; Ma, D.: Hierarchical modeling of the mechanical properties of lobster cuticle from nano‐ up to macroscale: The influence of the mineral content and the microstructure. In: Proceedings of MMM 2008 "Computational Modeling of biological and soft condensed matter systems", pp. 667 - 670. 4th International Conference on Multiscale Materials Modeling, Tallahassee, FL, USA, October 27, 2008 - October 31, 2008. Dep. of Scientific Computing, Florida State University, USA (2008)
Nikolov, S.; Roters, F.; Raabe, D.: A constitutive model with shear transformation zones plasticity and reptation-based viscoelasticity. 3th Int. Conference Multiscale Materials Modeling 2006, Freiburg, Germany, September 18, 2006 - September 22, 2006. (2006)
Nikolov, S.; Lebensohn, R. A.; Roters, F.; Raabe, D.; Ma, A.: Micromechanical modeling of large plastic deformation in semi-crystalline polymers. 12th International Symposium on Plasticity 2006, Halifax, Nova Scotia (Canada), July 17, 2006 - July 22, 2006. (2006)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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.