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.; 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)
Šlapáková, M.; Liebscher, C.; Kumar, S.; Stein, F.: Deformation Mechanism of Single Phase C14 Laves Phase NbFe2 Studied by TEM. MRS Fall Meeting 2016, Boston, MA, USA (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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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.