Zaefferer, S.: Advanced applications of SEM-based electron diffraction techniques for the characterization of deformation structures of new steels. E-MRS 2012, Strasbourg, France, Strasbourg, France (2012)
Zaefferer, S.: Dislocations in metals: Observations from the atomic scale to macroscopic dimensions. ICMS Workshop, “Open problems between micro and macro systems of agents and particles”, Eindhoven, The Netherlands (2012)
Ram, F.; Zaefferer, S.: Kikuchi Bandlet Method: A Method to Resolve the Source Point Position of an EBSD Pattern. 20th Annual meeting of the German Crystallographic Society, München, Germany (2012)
Davut, K.; Zaefferer, S.: Improving the Reliability of EBSD-based Texture Analysis by a New Large Area Mapping Technique. International Conference on the Textures of Materials, ICOTOM 16, Mumbai, India (2011)
Konijnenberg, P.; Zaefferer, S.; Lee, S.-B.; Rollett, A. D.; Rohrer, G.; Raabe, D.: Advanced Methods and Tools for Reconstruction and Analysis of Grain Boundaries from 3D-EBSD Data Sets. International Conference on the Textures of Materials, ICOTOM 16, Bombay, India (2011)
Zaefferer, S.: Comprehensive 5-parameter grain boundary description: How to measure it, how to display it and how important is it? ICOTOM 16, Mumbai, India (2011)
Konijnenberg, P.; Zaefferer, S.; Raabe, D.: Advanced Reconstruction and Analysis of Grain Boundaries from 3D-EBSD Data Sets. MRS Fall Meeting 2011, Boston, MA, USA (2011)
Konijnenberg, P.; Zaefferer, S.; Raabe, D.: Advanced Reconstruction and Analysis of Grain Boundaries from 3D-EBSD Data Sets. 3D Microstructure Meeting 2011, Saarbrücken, Germany (2011)
Davut, K.; Zaefferer, S.: Factors influencing the strain-induced transformation of residual austenite in a low-alloyed TRIP steel. Euromat 2011 Conference, Montpellier, France (2011)
Zaefferer, S.; Jäpel, T.; Tasan, C. C.; Konijnenberg, P.: Detailed observation of martensite transformation and twinning in TRIP and TWIP steels using advanced SEM diffraction techniques. ICOMAT 2011, Osaka, Japan (2011)
Zaefferer, S.: Electron diffraction-based techniques in the SEM: Do they give you everything you ever wanted to know about your sample? XIVth ICEM, Wisła, Poland (2011)
Elhami, N.-N.; Zaefferer, S.; Thomas, I.; Hofmann, H.: Observation of the crystallographic defect structure in lightly deformed TWIP steel by means of electron channeling contrast imaging (ECCI). 1st International Conference on High Manganese Steels (HMnS2011), Seoul, South Korea (2011)
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.