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
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…