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)
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
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.