Fischer, F. D.; Cha, L.; Dehm, G.; Clemens, H. J.: Can local hot spots induce α2/γ lamellae during incomplete massive transformation of γ-TiAl alloys? Intermetallics 18 (5), pp. 972 - 976 (2010)
Fischer , F. D.; Waitz, T.; Scheu, C.; Cha, L.; Dehm, G.: Study of nanometer-scaled lamellar microstructure in a Ti–45Al–7.5Nb alloy – Experiments and modeling. Intermetallics 18 (4), pp. 509 - 517 (2010)
Matoy, K.; Detzel, T.; Müller , M.; Motz, C.; Dehm, G.: Interface fracture properties of thin films studied by using the micro-cantilever deflection technique. Surface and Coatings Technology 204 (6-7), pp. 878 - 881 (2009)
Dehm, G.: Miniaturized single-crystalline fcc metals deformed in tension: New insights in size-dependent plasticity. Progress in Materials Science 54 (6), pp. 664 - 688 (2009)
Oh, S. H.; Legros, M.; Kiener, D.; Dehm, G.: In situ observation of dislocation nucleation and escape in a submicrometre aluminium single crystal. Nature Materials 8 (2), pp. 95 - 100 (2009)
Kiener, D.; Motz, C.; Dehm, G.; Pippan, R.: Overview on established and novel FIB based miniaturized mechanical testing using in-situ SEM. International Journal of Materials Research 100 (8), pp. 1074 - 1087 (2009)
Yang, B.; Motz, C.; Grosinger, W.; Kammrath, W.; Dehm, G.: Tensile behaviour of micro-sized copper wires studied by a novel fibre tensile module. International Journal of Materials Research 99 (7), pp. 716 - 724 (2008)
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…