Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using ab initio calculations in designing bcc MgLi–X alloys for ultra-lightweight applications. Advanced Engineering Materials 12 (12), pp. 1198 - 1205 (2010)
Nazarov, R.; Hickel, T.; Neugebauer, J.: First-principles study of the thermodynamics of hydrogen-vacancy interaction in fcc iron. Physical Review B 82 (22), pp. 224104-1 - 224104-11 (2010)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Ab Initio Guided Design of bcc Ternary Mg–Li–X (X=Ca,Al,Si,Zn,Cu) Alloys for Ultra-Lightweight Applications. Advanced Engineering Materials 12 (7), pp. 572 - 576 (2010)
Lange, B.; Freysoldt, C.; Neugebauer, J.: Native and hydrogen-containing point defects in Mg3N2: A density functional theory study. Physical Review B 81, 224109, pp. 1 - 10 (2010)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: Rescaled Monte Carlo approach for magnetic systems: Ab initio thermodynamics of bcc iron. Physical Review B 81 (13), pp. 134425 - 134434 (2010)
von Pezold, J.; Dick, A.; Friák, M.; Neugebauer, J.: Generation and performance of special quasirandom structures for studying the elastic properties of random alloys: Application to Al–Ti. Physical Review B 81 (9), pp. 094203-1 - 094203-7 (2010)
Dick, A.; Hickel, T.; Neugebauer, J.: The Effect of Disorder on the Concentration-Dependence of Stacking Fault Energies in Fe1-xMnx – A First Principles Study. Steel Research International 80 (9), pp. 603 - 608 (2009)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we employ atomistic computer simulations to study grain boundaries. Primarily, molecular dynamics simulations are used to explore their energetics and mobility in Cu- and Al-based systems in close collaboration with experimental works in the GB-CORRELATE project.
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.