Kirchlechner, C.; Malyar, N.; Dehm, G.: Insights into dislocation grain-boundary interaction by X-ray µLaue diffraction. Dislocations 2016, West Lafayette, IN, USA (2016)
Kirchlechner, C.: Synchrotron based µLaue diffraction to probe plasticity at interfaces. IRSP 2016, 14th International Conference Reliability and Stress-Related Phenomena in Nanoelectronics – Experiment and Simulation
, Dresden, Germany (2016)
Kirchlechner, C.; Malyar, N.; Imrich, P. J.; Dehm, G.: Dislocation twin boundary interaction and its dependence on loading direction. 62. Metallkunde-Kolloquium, Lech am Arlberg, Austria (2016)
Kirchlechner, C.; Malyar, N.; Imrich, P. J.: X-ray microdiffraction Laue experiments to understand plasticity at interfaces. 80th Annual Conference of the DPG and DPG Spring Meeting, Regensburg, Germany (2016)
Jaya, B. N.; Köhler, M.; Schnabel, V.; Raabe, D.; Schneider, J. M.; Kirchlechner, C.; Dehm, G.: Micro-scale fracture behavior of Co based metallic glass thin films. 2016 TMS Annual Meeting and Exhibition Symposium: In Operando Nano- and Micro-mechanical Characterization of Materials with Special Emphasis on In Situ Techniques, Nashville, TN, USA (2016)
Luo, W.; Kirchlechner, C.; Dehm, G.; Stein, F.: A New Method to Study the Composition Dependence of Mechanical Properties of Laves. MRS Fall Meeting 2016, Boston, MA, USA (2016)
Davydok, A.; Jaya, B. N.; Micha, J.-S.; Kirchlechner, C.: Can We Analyze the Full Strain Tensor During a micro-Compression Experiment? A µLaue case study on Germanium. CNRS GDRi mecano: General Meeting
, Marseille, France (2015)
Dehm, G.; Imrich, P. J.; Malyar, N.; Kirchlechner, C.: Differences in deformation behavior of bicrystalline Cu micropillars containing different grain boundaries. MS&T 2015 (Materials Science and Technology) meeting, symposium entitled "Deformation and Transitions at Grain Boundaries", Columbus, OH, USA (2015)
Davydok, A.; Jaya, B. N.; Micha, J.-S.; Kirchlechner, C.: Can We Analyze the Full Strain Tensor During a micro-Compression Experiment? A µLaue case study on Germanium. Size & Strain
, Oxford, UK (2015)
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…