Ma, D.; Friák, M.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Ab initio study of compositional trends in solid solution strengthening in metals with low Peierls stresses. Acta Materialia 98, 12303, pp. 367 - 376 (2015)
Ma, D.; Friák, M.; von Pezold, J.; Raabe, D.; Neugebauer, J.: Computationally efficient and quantitatively accurate multiscale simulation of solid-solution strengthening by ab initio calculation. Acta Materialia 85, pp. 53 - 66 (2015)
Race, C.; von Pezold, J.; Neugebauer, J.: Role of the mesoscale in migration kinetics of flat grain boundaries. Physical Review B 89 (21), 214110 (2014)
Nematollahi, A.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Thermodynamics of carbon solubility in ferrite and vacancy formation in cementite in strained pearlite. Acta Materialia 61 (5), pp. 1773 - 1784 (2013)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Hydrogen-enhanced plasticity at dilute bulk H concentrations: The role of H-H interactions and the formation of local hydrides. Acta Materialia 59, pp. 2969 - 2980 (2011)
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)
Udyansky, A.; von Pezold, J.; Bugaev, N. V.; Friák, M.; Neugebauer, J.: Interplay between long-range elastic and short-range chemical interactions in Fe–C martensite formation. Physical Review B 79 (22), pp. 224112-1 - 224112-5 (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.
In this ongoing project, we investigate spinodal fluctuations at crystal defects such as grain boundaries and dislocations in Fe-Mn alloys using atom probe tomography, electron microscopy and thermodynamic modeling [1,2].