Sahu, R.; Bogdanovski, D.; Achenbach, J.-O.; Schneider, J. M.; Scheu, C.: Defects in an orthorhombic MoAlB MAB phase thin film grown at moderate synthesis temperature. Nanoscale 14 (7), pp. 2578 - 2585 (2022)
Obermaier, M.; Bauer, A.; Dalkilic, M.; Rauber, M.; Scheu, C.: Gas diffusion layer wettability determination by cyclic voltammetry for automotive fuel cells. Fuel Cells: from Fundamentals to Systems 21 (3), pp. 221 - 233 (2021)
Frank, A.; Dias, M.; Hieke, S. W.; Kruth, A.; Scheu, C.: Spontaneous fluctuations in a plasma ion assisted deposition – correlation between deposition conditions and vanadium oxide thin film growth. Thin Solid Films 722, 138574 (2021)
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…