Ma, Y.; Villanova, J.; Requena, G.; Raabe, D.: Understanding the physical-chemical phenomena in green steel production using synchrotron X-ray techniques. European Synchrotron Radiation Facility User Meeting 2022, Online (2022)
Ma, Y.; Zaefferer, S.; Raabe, D.: Hydrogen-based direct reduction of iron ores: Microstructure, crystallography, and reduction mechanisms. 2021 International Metallurgical Processes Workshop for Young Scholars (IMPROWYS2021), a hybrid event, Online (2021)
Ma, Y.: Materials Characterization – Introduction to X-ray Diffraction. Lecture: International Max Planck Research School for Interface Controlled Materials for Energy Conversion (IMPRSURMAT), online, 2021-08
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…