Jägle, E. A.: Metallische Werkstoffe in der Additiven Fertigung. Workshop "Steels for Additive Manufacturing", Stahlinstitut,VDEh, Düsseldorf, Düsseldorf, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Seminar Materials Science and Technology, Ruhr-Universität Bochum, Bochum, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Werkstoffkolloquium 2016, Deutsches Zentrum für Luft- und Raumfahrt Köln, Köln, Germany (2016)
Jägle, E. A.: Phase transformations in alloys produced by Laser Additive Manufacturing. Spezialseminar Fakultät für Werkstoffwissenschaft und Werkstofftechnologie, TU Bergakademie Freiberg, Freiberg, Germany (2016)
Jägle, E. A.: Solidification cracking during Selective Laser Melting of Inconel 738LC: origins and remedy. Multiscale Materials Modelling conference, Dijon, France (2016)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Precipitation Reaction in a Maraging Steel during Laser Additive Manufacturing triggered by Intrinsic Heat Treatment. Materials Science and Engineering Congress, Darmstadt, Germany (2016)
Jägle, E. A.: Small variations in powder composition lead to strong differences in part properties. Alloys for Additive Manufacturing Workshop 2016, Düsseldorf, Germany (2016)
Jägle, E. A.: Alloys for Laser Additive Manufacturing: general considerations and precipitation reactions. Seminar at Institut für Werkstoff-Forschung, DLR Köln 2016, Köln, Germany (2016)
Jägle, E. A.: Precipitation Reactions in Age-Hardenable Alloys During Laser Additive Manufacturing. Seminar at EMPA (Eidgenössische Materialprüfungs- und Forschungsanstalt), Dübendorf, Switzerland (2016)
Jägle, E. A.: Alloys for and by Laser Additive Manufacturing – the basic research perspective. 2nd European Scientific Steel Panel – Metal Additive Manufacturing, Steel Institute VdEH, Düsseldorf, Germany (2015)
Jägle, E. A.: Maraging steel produced by LAM: Influence of processing on precipitation and austenite reversion. Phase Transformations in Inorganic Materials (PTM), Whistler, BC, Canada (2015)
Jägle, E. A.; Tytko, D.; Choi, P.-P.; Raabe, D.: Deformation-induced intermixing in a model multilayer system. Atom Probe Tomography & Microscopy 2014, Stuttgart, 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 structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
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.
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…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.