Fabritius, H.-O.: Structure-property relations in biological materials – Opportunities and challenges. Summer School of the SPP1420 at the University of Ulm, Ulm, Germany (2013)
Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: New approaches towards synthetic bio-inspired dental materials based on the characteristics of shark teeth. 9. Zsigmondy-Kolloquium der Kolloid-Gesellschaft, Essen, Germany (2013)
Huber, J.; Ziegler, A. S.; Fabritius, H.-O.; Griesshaber-Schmahl, E.: Be inspired by isopod cuticle: Unusual cuticle organisation and mechanical properties within the incisive edge of the mandibles in two Crustacean species. EURO BioMAT Conference, Weimar, Germany (2013)
Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: Korrelation von Strukturhierarchie, chemischer Zusammensetzung und mechanischen Eigenschaften von Haizähnen. Jahrestagung der Deutschen Gesellschaft für Biomaterialien, Hamburg, Germany (2012)
Nikolov, S.; Fabritius, H.-O.; Friák, M.; Raabe, D.: The Multiscale Modeling of Biomaterials as a Tool for Understanding the Design Principles in Nature. IVth National Crystallographic Symposium, Sofia, Bulgaria (2012)
Huber, J.; Fabritius, H.-O.; Ziegler, A. S.: Structure, mineral distribution and mechanical properties of the Pars incisiva cuticule in the mandibles of Porcellio scaber Latreille, 1804. 105th Annual Meeting of the German Zoological Society, Konstanz, Germany (2012)
Wu, X.; Erbe, A.; Fabritius, H.; Raabe, D.: Biological D-surface Structure: A Lesson from Nature on Photonic Crystals Design. 10th International Symposium on Photonic and Electromagnetic Crystal Structures(PECS-X), Santa Fe, NM, USA (2012)
Fabritius, H.: Biologische Verbundwerkstoffe: Korrelation von Struktur, Zusammensetzung und physikalischen Eigenschaften am Beispiel der Arthropodenkutikula. Anorganisch-Chemisches Kolloquium, Fakultät für Chemie, Universität Duisburg-Essen, Duisburg, Germany (2012)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…