Zaefferer, S.: Some topics of experimental texture and microstructure research at the MPIE. Intern. Workshop on Modern Texture Research in Engineering Materials (MoteX), Düsseldorf (2003)
Zaefferer, S.: Microstructural characterization of low alloyed TRIP steels by SEM and TEM techniques. Seminar des Instituts für Eisenhüttenkunde der RWTH Aachen, RWTH Aachen, Germany (2003)
Zaefferer, S.: Microtexture measurements: A powerful tool to understand microstructures. Fachvortrag bei der Sitzung des Fachbeirates des Instituts, Düsseldorf, Düsseldorf (2003)
Kobayashi, S.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Slip system determination by rolling texture measurements around the strength peak temperature in a Fe3Al-based alloy. Intern. Conf. on Strength of Materials (ICSMA 13), Budapest, Hungary (2003)
Archie, F. M. F.; Zaefferer, S.: Micro-damage initiation in advanced high strength steels (AHSS): Influence of Prior Austenite Grain Boundaries. Meeting Materials 2016 - M2i - Materials innovation institute, Nieuwegein, The Netherlands (2016)
Stechmann, G.; Zaefferer, S.; Konijnenberg, P. J.: Microstructural and Electronic Characterization of CdTe Thin Film Solar Cells: A Correlative SEM-Based Approach. IAMNano, Port Elizabeth, South Africa (2016)
Stechmann, G.; Zaefferer, S.: Microstructural and Electronic Characterization of CdTe Thin Film Solar Cells: A Correlative SEM-Based Approach. IAMNano, Hamburg, Germany (2015)
Zaefferer, S.; Zhu, Z.; Reed, R. C.: Observation of Dislocation Evolution during Straining of a γ-γ’ Superalloy Single Crystal using the CECCI technique. Eurosuperalloys 2014, Giens, France (2014)
Archie, F. M. F.; Zaefferer, S.; Raabe, D.: The influence of grain boundary character on dislocation densities and fracture toughness in AHSS. M2i Conference "High Tech Materials: your world - our business", Sint Michielgestel, The Netherlands (2014)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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.
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…