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
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…
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…