Friák, M.; Tytko, D.; Holec, D.; Choi, P.-P.; Eisenlohr, P.; Raabe, D.; Neugebauer, J.: Synergy of atom-probe structural data and quantum-mechanical calculations in a theory-guided design of extreme-stiffness superlattices containing metastable phases. New Journal of Physics 17 (9), 093004 (2015)
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)
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
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.