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)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
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…