Titrian, H.; Aydin, U.; Friák, M.; Ma, D.; Raabe, D.; Neugebauer, J.: Self-consistent scale-bridging approach to compute the elasticity of multi-phase polycrystalline materials. Materials Research Society Symposia Proceedings 1524, pp. 17 - 23 (2013)
Holec, D.; Friák, M.; Neugebauer, J.; Mayrhofer, P. H.: Trends in the elastic response of binary early transition metal nitrides. Physical Review B 85, pp. 064101-1 - 064101-9 (2012)
Holec, D.; Friák, M.; Dlouhy, A.; Neugebauer, J.: Ab initio study of pressure stabilized NiTi allotropes: Pressure-induced transformations and hysteresis loops. Physical Review B 84, pp. 224119-1 - 224119-8 (2011)
Zelený, M.; Friák, M.; Šob, M.: Ab initio study of energetics and magnetism of Fe, Co, and Ni along the trigonal deformation path. Physical Review B 83, pp. 184424-1 - 184424-7 (2011)
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)
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
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…