Yan, D.; Tasan, C. C.; Raabe, D.: Graded, ultrafine-grained, ferrite/martensite dual phase steel: a case study for damage-resistant microstructure design. Physics based materials models and experimental observations, Cesme Turkey (2014)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Roters, F.; Raabe, D.: Stress and Strain Partitioning in Multiphase Alloys: An Integrated Experimental-Numerical Analysis. Materials to Innovate Industry and Society, Noordwijkerhout, The Netherlands (2013)
Enax, J.; Fabritius, H.-O.; Prymak, O.; Raabe, D.; Epple, M.: Synthetische Fluorapatit/Polymer-Dentalkomposite, basierend auf dem Vorbild Haizahn-Enameloid. Jahrestagung der Deutschen Gesellschaft für Biomaterialien, Erlangen, Germany (2013)
Nellessen, J.; Sandlöbes, S.; Raabe, D.: Systematic and efficient investigation of the influences on the dislocation structures formed during low cycle fatigue in austenitic stainless steel. Euromat 2013, Sevilla, Spain (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: In-situ observation of dislocation evolutions in single crystal Ni base superalloys creep using discrete dislocation dynamics simulation. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Wang, M.; Tasan, C. C.; Ponge, D.; Kostka, A.; Raabe, D.: Size effects on mechanical stability of metastable austenite. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Jeannin, O.; Tasan, C. C.; Raabe, D.: Micro-testing of isolated single/bi-crystals of complex alloys with ECCI & δ-EBSD imaging. 4th International Workshop on Remote Electron Microscopy and In Situ Studies, Lisbon, Portugal (2013)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Raabe, D.: Characterization of Cu(In,Ga)Se2 grain boundaries using atom probe tomography. 2013 MRS Spring Meeting & Exhibit, San Francisco, CA, USA (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Dislocation dynamics simulation of Ni base superalloy creep under different loading conditions. 2013 MRS Spring Meeting, San Francisco, CA, USA (2013)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science