Hengge, K.; Heinzl, C.; Perchthaler, M.; Welsch, M. T.; Scheu, C.: Template-free synthesized high surface area 3D networks of Pt on WO3-x – a promising alternative for H2 oxidation in fuel cell application. 2016 MRS Fall Meeting, Boston, MA, USA (2016)
Hengge, K.; Heinzl, C.; Perchthaler, M.; Welsch, M. T.; Scheu, C.: Growth of novel Pt 3D networks on WO3-x electrodes and their effect on the performance of fuel cells. EMC 2016, 16th European Microscopy Congress, Lyon, France (2016)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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…