Tasan, C. C.; Diehl, M.; Yan, D.; Shanthraj, P.; Roters, F.; Eisenlohr, P.; Raabe, D.: Integrated in-situ experiments – full field crystal plasticity simulations to analyze stress – strain partitioning in multi-phase alloys. Nanomechanical Testing in Materials Research and Development IV, Olhão, Algarve, Portugal (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: High resolution strain mapping coupled with EBSD during in-situ tension in SEM. BSSM 9th Int. Conf. on Advances in Experimental Mechanics, Cardiff, UK (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: High resolution strain mapping coupled with EBSD during in-situ tension in SEM. Interdisciplinary Center for Advanced materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: Stress-strain partitioning in martensitic-ferritic steels analyzed by integrated full-field crystal plasticity simulations and high resolution in situ experiments. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: Coupled high resolution strain and microstructure mapping based on digital image correlation and electron backscatter diffraction. IMPRS-SurMat Seminar, Meschede, Germany (2013)
Zhang, J.; Raabe, D.; Lai, M.; Yan, D.; Tasan, C. C.: Site-preferential recrystallization and nano-precipitation to achieve improved mechanical properties. MRS Fall Meeting 2016, Boston, MA, USA (2016)
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. Winter School 2014, Research Training Group 1483,
Karlsruher Intitut f. Technologie (KIT), Karlsruhe, Germany (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)
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)
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…