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)
Yan, D.; Tasan, C. C.; Ponge, D.; Diehl, M.; Roters, F.; Hartmaier, A.; Raabe, D.: Experimental-Numerical Analysis of Stress and Strain Partitioning in Dual Phase Steel. 10th Materials Day, Joint workshop of the Materials Research Department (MRD) and the IMPRS-SurMat, Bochum, Germany (2012)
Scharifi, E.; Tasan, C. C.; Hoefnagels, J. P. M.; Raabe, D.: Microstructural analysis of strain rate sensitivity of dual-phase steel. Materials Science Engineering (MSE) 2012, Dramstadt, Germany (2012)
Herbig, M.; Choi, P.; Raabe, D.: A Sample Holder System that Enables Sophisticated TEM Analysis of APT Tips. International Field Emission Symposium 2012, Tuscaloosa, AL, USA (2012)
Diehl, M.; Eisenlohr, P.; Roters, F.; Raabe, D.: Using a "Virtual Laboratory" to Derive Mechanical Properties of Complex Microstructures. 11th GAMM-Seminar on Microstructures, Essen, Germany (2012)
Khorashadizadeh, A.; Raabe, D.: Exploring the formation of different lamination configurations within the orientation space. 11th GAMM-Seminar on Microstructures, Universität Duisburg-Essen, Essen, Germany (2012)
Nematollahi, A.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Thermodynamic and kinetic effects of elastic strain on the decomposition of cementite in wire-draw pearlitic steel. International scientific seminar: Ab-initio description of iron and steel thermodynamics and kinetics, Ringberg Castle, Tegernsee, Germany (2012)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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…