Ram, F.; Zaefferer, S.; Jäpel, T.; Raabe, D.: Error analysis of the crystal orientations and disorientations obtained by the classical electron backscatter diffraction technique. Journal of Applied Crystallography 48 (3), pp. 797 - 813 (2015)
Schäffer, A. K.; Jäpel, T.; Zaefferer, S.; Abart, R.; Rhede, D.: Lattice strain across Na–K interdiffusion fronts in alkali feldspar: An electron back-scatter diffraction study. Physics and Chemistry of Minerals 41 (10), pp. 795 - 804 (2014)
Zaefferer, S.; Elhami, N. N.; Konijnenberg, P. J.; Jäpel, T.: Quantitative Microstructure Characterization by Application of Advanced SEM-Based Electron Diffraction Techniques. Microscopy and Microanalysis 2013, Indianapolis, IN, USA (2013)
Jäpel, T.: Grundlagen der Kreuzkorrelationsmethode (delta-EBSD): Einführung in CrossCourt3 (CC3) und Erfahrungen in der praktischen Anwendung von CC3. Seminar Talk at Arbeitskreis EBSD in Garbsen, Garbsen, Germany (2012)
Kords, C.; Jäpel, T.; Eisenlohr, P.; Roters, F.: Residual stress prediction by considering dislocation density advection in 3D applied to single-crystal bending. Euromat 2011, 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)
Kords, C.; Jäpel, T.; Eisenlohr, P.; Roters, F.: Residual stress prediction by considering dislocation density advection in 3D applied to single-crystal bending. 2nd International Conference on Material Modelling ICMM 2, Paris, France (2011)
Ram, F.; Zaefferer, S.; Jäpel, T.: Error Analysis of the Crystal Orientations and Misorientations obtained by the Classical Electron Backscatter Diffraction Method. RMS EBSD 2014, London, UK (2014)
Ram, F.; Zaefferer, S.; Jäpel, T.: On the accuracy and precision of orientations obtained by the conventional automated EBSD method. RMS EBSD 2014, London, UK (2014)
Jäpel, T.: Feasibility study on local elastic strain measurements with an EBSD pattern cross correlation method in elastic-plastically deforming material. Dissertation, RWTH Aachen, Aachen, Germany (2014)
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
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
The goal of this project is to develop an environmental chamber for mechanical testing setups, which will enable mechanical metrology of different microarchitectures such as micropillars and microlattices, as a function of temperature, humidity and gaseous environment.
Water electrolysis has the potential to become the major technology for the production of the high amount of green hydrogen that is necessary for its widespread application in a decarbonized economy. The bottleneck of this electrochemical reaction is the anodic partial reaction, the oxygen evolution reaction (OER), which is sluggish and hence…
The computational materials design department in collaboration with the Technical University Darmstadt and the Ruhr University Bochum developed a workflow to calculate phase diagrams from ab-initio. This achievement is based on the expertise in the ab-initio thermodynamics in combination with the recent advancements in machine-learned interatomic…
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.