Fabritius, H.-O.; Enax, J.; Wu, X.; Epple, M.; Raabe, D.: Structure-property relations in biological composite materials: An inspiration source for synthetic materials. 79th Annual Meeting of the DPG and DPG Spring Meeting 2015, Berlin, Germany (2015)
Fabritius, H.-O.: Alternative Präparationsmethoden für nichtmetallische Werkstoffe. Fachtagung Mikroskopie und Präparation (mikpräp) der Gesellschaft für Materialografie Rhein Ruhr e.V. (gmr2), Solingen, Germany (2015)
Fabritius, H.-O.: Structure-property relations in biological composite materials – The arthropod exoskeleton. Chemical Engineering and Materials Science Seminar, Michigan State University, East Lensing, MI, USA (2014)
Enax, J.; Fabritius, H.-O.; Roters, F.; Raabe, D.; Epple, M.: Synthetic dental composite materials inspired by the hierarchical organization of shark tooth enameloid. Third winter school within the DFG priority programme 1420 "Biomimetic Materials Research: Functionality by Hierarchical Structuring of Materials", Potsdam, Germany (2014)
Huber, J.; Fabritius, H.-O.; Griesshaber, E.; Schmahl, W. W.; Ziegler, A. S.: Varying mechanical properties within the incisive cuticle of the terrestrial isopod Porcellio scaber resulting from region-dependent ultrastructure, elemental distribution and arrangement of calcite crystals. DGM Bio-inspired Materials: International Conference on Biological Material Science, Potsdam, Germany (2014)
Fabritius, H.-O.: Structure-property relations in biological composite materials. Seminar, Department of Earth- and Environmental Sciences, LMU Munich, München, Germany (2014)
Fabritius, H.-O.; Hennig, S.; Hild, S.; Soor, C.; Ziegler, A. S.: Influence of Near-Physiological Salines and Organic Matrix Proteins from Sternal ACC-Deposits of Porcellio scaber on CaCO3 Precipitation. 12th International Symposium on Biomineralization, Freiberg, Germany (2013)
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
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…
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.
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.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.