Dehm, G.: Fracture testing of thin films: insights from synchrotron XRD and micro-cantilever experiments. 2016 MRS Fall Meeting, Boston, MA, USA (2016)
Dehm, G.; Harzer, T. P.; Dennenwaldt, T.; Freysoldt, C.; Liebscher, C.: Chemical demixing and thermal stability of supersaturated nanocrystalline CuCr alloys: Insights from advanced TEM. MS&T '16, Materials Science & Technology 2016 Conference & Exhibition, Salt Lake City, UT, USA (2016)
Dehm, G.: Resolving the interplay of nanostructure and mechanical properties by advanced electron microscopy. MSE Conference, Materials Science and Engineering, Darmstadt, Germany (2016)
Kirchlechner, C.; Malyar, N.; Dehm, G.: Insights into dislocation grain-boundary interaction by X-ray µLaue diffraction. Dislocations 2016, West Lafayette, IN, USA (2016)
Dehm, G.: Deformation and Adhesion of Metallic Thin Films. International Conference on Metallurgical Coatings and Thin Films, 43rd ICMCTF, San Diego, CA, USA (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)
Harzer, T. P.; Duarte, M. J.; Dehm, G.: In-situ TEM isothermal annealing of nanocrystalline supersaturated Cu–Cr thin film alloys. 80th Annual Conference of the DPG and DPG Spring Meeting, Regensburg, Germany (2016)
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…