Kiener, D.; Grosinger, W.; Dehm, G.; Pippan, R.: A further step towards an understanding of size-dependent crystal plasticity: In situ tenison experiments of miniaturized single-crystal copper samples. Acta Materialia 56 (3), pp. 580 - 592 (2008)
Inkson, B. J.; Dehm, G.; Peng, Y.: Dynamical growth of Cu-Pt nanowires with a nanonecklace morphology. Nanotechnology 18 (41), 415601, pp. 1 - 5 (2007)
Oh, S. H.; Legros, M.; Kiener, D.; Gruber, P. A.; Dehm, G.: In situ TEM straining of single crystal Au films on polyimide: Change of deformation mechanisms at the nanoscale. Acta Materialia 55 (16), pp. 5558 - 5571 (2007)
Kiener, D.; Motz, C.; Rester, M.; Jenko, M.; Dehm, G.: FIB damage of Cu and possible consequences for miniaturized mechanical tests. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 459 (1-2), pp. 262 - 272 (2007)
Kiener, D.; Motz, C.; Schöberl, T.; Jenko, M.; Dehm, G.: Determination of mechanical properties of copper at the micron scale. Advanced Engineering Materials 8 (11), pp. 1119 - 1125 (2006)
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
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…
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…