Friák, M.; Zhu, L.-F.; Dick, A.; Hickel, T.; Neugebauer, J.: First-principles study of the Ti-Fe eutectic system. Seminar at Institute of Physics of Materials at Czech Academy of Sciences, Brno, Czech Republic (2010)
Kim, O.; Friák, M.; Neugebauer, J.: Ab initio analysis of the carbon solubility limits in various iron allotropes. DPG Frühjahrstagung 2010, Regensburg, Germany (2010)
Zhu, L.-F.; Dick, A.; Friák, M.; Hickel, T.; Neugebauer, J.: First principles study of thermodynamic, structural and elastic properties of eutectic Ti-Fe alloys. DPG Spring Meeting 2010, Regensburg, Germany (2010)
Zhu, L.-F.; Dick, A.; Friák, M.; Hickel, T.; Neugebauer, J.: First principles study of thermodynamic, structural and elastic properties of eutectic Ti–Fe alloys. March meeting of the American Physical Society (APS), Portland, OR, USA (2010)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Fundamental Materials-Design Limits in Ultra Light-Weight Mg-Li Alloys Determined from Quantum-Mechanical Calculations. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Friák, M.; Hubert, J.; Emmerich, H.; Schlieter, A.; Kuehn, U.; Eckert, J.; Neugebauer, J.: Ab Initio Determination of Phase-Field Parameters Needed for Scale-Bridging Studies of Nucleation and Microstructure Formation in the Ti-Fe Eutectic System. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Friák, M.; Legut, D.; Sob, M.: Ab Initio Study of Extreme Loading Conditions in Transition-Metal Disilicides with the C40 Structure. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Schlieter, A.; Kuehn, U.; Friák, M.; Hubert, J.; Emmerich, H.; Neugebauer, J.; Eckert, J.: Experimental Investigations of the Ti-Fe-Eutectic System Needed for the Further Understanding of the Microstructural Evolution in an Eutectic Alloy at Different Cooling Rates. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…