Jägle, E. A.: Impact of the process gas atmosphere in Laser Additive Manufacturing – desired and undesired effects. Alloys for Additive Manufacturing Symposium 2018, Sheffield, UK (2018)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Preventing the Coarsening of Al3Sc Precipitates by the Formation of a Zr-rich Shell During Laser Metal Deposition. TMS2018 Annual Meeting & Exhibition, Phoenix, AZ, USA (2018)
Jägle, E. A.: Ex-situ and in-situ heat treatment of alloys during Laser Additive Manufacturing. AWT Kolloquium, Institut für Werkstofftechnik, Bremen, Germany (2017)
Jägle, E. A.: Additive Manufacturing and 3D Printing - What’s beyond the hype? Institute Lecture at Indian Institute of Technology Roorkee, Roorkee, India (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Plenary presentation, Advances in Materials & Processing: Challenges and Opportunities, Indian Institute of Technology Roorkee, Roorkee, India (2017)
Jägle, E. A.: Exploiting the Intrinsic Heat Treatment during Laser Additive Manufacturing to trigger Precipitation Reactions. International Mechanical Engineering Congress & Exposition (IMECE), Tampa, FL, USA (2017)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: In-process precipitation strengthening in Al–Sc during Laser Metal Deposition by exploiting the Intrinsic Heat Treatment. Alloys for Additive Manufacturing Symposium, Zürich, Switzerland (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Seminar talk at Culham Center for Fusion Energy, Oxford, Oxford, UK (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Laser-Kolloquium at Fraunhofer Institut für Lasertechnik, Aachen, Aachen, Germany (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Seminar talk at Institut für Umformtechnik und Leichtbau, TU Dortmund, Dortmund, Germany (2017)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.