Sahu, R.: Study of phase impurity, 2D and 3D defects in orthorhombic MoAlB MAB phase. Advances in Correlative Microscopy Workshop, IIT Madras, Chennai, India (2020)
Sahu, R.; Singh Negi, D.; Scheu, C.: Local strain field in distorted 1T (1Td) MoS2 phases by GPA. International Workshop on Advanced and In-situ Microscopies of Functional Nanomaterials and Devices, IAMNano 2019, Düsseldorf, Germany (2019)
Sahu, R.; Völker, B.; Stelzer , B.; Chen, X.; Bliem , P.; Hans, M.; Primetzhofer, D.; Schneider, J. M.; Scheu, C.: Phase transitions in Cr2AlC thin films by in situ TEM heating experiment. Fifth Conference on Frontiers of Aberration Corrected Electron Microscopy, PICO 2019, Vaalsbroek, The Netherlands (2019)
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…