Hickel, T.; Sandschneider, N.; Friák, M.; Neugebauer, J.; Ouyang, Y.: Ab initio determination of point defects and derived diffusion properties in metals. TMS Annual meeting 2012, Orlando, FL, USA (2012)
Sandschneider, N.; Nolting, W.: A microscopic model of current-induced switching of magnetization. Theories of Correlated Electrons in Condensed Matter, Moscow, Russia (2010)
Sandschneider, N.; Hickel, T.; Neugebauer, N.: Defects and diffusion mechanisms in FeAl. Ab initio Description of Iron and Steel: Mechanical properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
International research team shows how hydrogen affects Nickel-base superalloys at elevated temperatures. Latest results published in journal Nature Materials.
Max Planck team explains dendrite propagation, paving the way for safer and longer-lasting next-generation batteries. They publish their findings in the journal Nature.
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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