Nikolov, S.; Petrov, M.; Lymperakis, L.; Friák, M.; Sachs, C.; Fabritius, H.; Neugebauer, J.; Raabe, D.: Extremal stiffness of crustacean cuticle through hierarchical optimization: Theory, modeling, and experiment. 3rd International Conference on Mechanics of Biomaterials & Tissues, multiscale modeling of tissue mechanical properties, Clearwater Beach, FL, USA (2009)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friák, M.; Neugebauer, J.: Modeling of the mechanical properties of lobster cuticle from ab initio to macroscale: How nature designs multifunctional composites with optimal properties. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Raabe, D.; Sachs, C.; Fabritius, H.; Romano, P.; Raue, L.; Klein, H.; Al-Sawalmih, A.: Crystallographic Textures from the Exoskeleton of the Lobster Homarus Americanus and Calculation of the Mechanical Properties of the Calcite Phase. 15th International Conference on the Textures of Materials (ICOTOM 15), Carnegie Mellon University Center, Pittsburgh, PA, USA (2008)
Sachs, C.; Romano, P.; Raue, L.; Fabritius, H.; Klein, H.; Paris, O.; Al-Sawalmih, A.; Fratzl, P.; Wu, X.; Raabe, D.: Crystallographic and topological textures of biological materials and the resulting anisotropy of the mechanical properties. 15th International Conference on the Texture of Materials (ICOTOM 15), Pittsburgh, PA, USA (2008)
Sachs, C.; Yi, S. B.; Raabe, D.: Investigation of the Lattice Strain Evolution in Tension and Compression of Different Phases in the Mineralized Lobster Cuticle. MRS Spring Meeting, San Francisco, CA, USA (2008)
Nikolov, S.; Raabe, D.; Sachs, C.; Fabritius, H.: Hierarchical modeling of the mechanical properties of hard biological tissues: Bone and lobster cuticle. MSU conference, MPIE Düsseldorf, Germany (2008)
Fabritius, H.; Sachs, C.; Nikolov, S.; Romano, P.; Hild, S.; Raabe, D.: Wie beeinflussen Struktur und chemische Zusammensetzung auf unterschiedlichen Längenskalen die mechanischen Eigenschaften von biologischen Materialien ? Institute Colloquium, Department of Polymer Science, Johannes Kepler University Linz (JKU), Linz, Austria (2008)
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…