Dehm, G.: Resolving the interplay of nanostructure and mechanical properties in advanced materials. Karlsruher Werkstoffkolloquium im Wintersemester 2016/2017, Karlsruhe, Germany (2017)
Dehm, G.: Towards thermally stable nanocrystalline alloys with exceptional strength: Cu–Cr as a case study. 16th International Conference on Rapidly Quenched and Metastable Materials (RQ16), Leoben, Austria (2017)
Dehm, G.; Harzer, T. P.; Liebscher, C.; Raghavan, R.: High Temperature Plasticity of Cu–Cr Nanolayered and Chemically Nanostructured Cu–Cr Films. 2017 TMS Annual Meeting & Exhibition, San Diego, CA, USA (2017)
Dehm, G.; Malyar, N.; Kirchlechner, C.: Towards probing the barrier strength of grain boundaries for dislocation transmission. Electronic Materials and Applications 2017, Orlando, FL, USA (2017)
Dehm, G.; Malyar, N.; Kirchlechner, C.: Do we understand dislocation transmission through grain boundaries? PICS meeting, Luminy, Marseille, France (2017)
Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Fracture Behavior of Nanostructured Heavily Cold Drawn Pearlite: Influence of the Interface. TMS 2017, San Diego, CA, USA (2017)
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)
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
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…