Hariharan, A.; Lu, L.; Risse, J.; Jägle, E. A.; Raabe, D.: Mechanisms Contributing to Solidification Cracking during laser powder bed fusion of Inconel-738LC. Alloys for Additive Manufacturing Symposium 2019 (AAMS2019), Chalmers University of Technology, Gothenburg, Sweden (2019)
Sedighiani, K.; Diehl, M.; Traka, K.; Roters, F.; Sietsma, J.; Raabe, D.: On the determination of constitutive parameters for a physics-based crystal plasticity model from macro-scale behavior. Meeting Materials 2018 , M2i Conference, Noordwijkerhout, The Netherlands (2018)
Jun, H.; Choi, P.-P.; Li, Z.; Raabe, D.: Design of dual-phase refractory multi-principle element alloys. 2nd International Conference on High-Entropy Materials (ICHEM 2018), Jeju, South Korea (2018)
Diehl, M.; Kühbach, M.; Raabe, D.: Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
Kühbach, M.; Breen, A. J.; Herbig, M.; Gault, B.; Raabe, D.: Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Pillar Orientations Using TAPSim. APT&M 2018 International Conference on Atom-Probe Tomography & Microscopy, Washington, DC, USA (2018)
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) 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.