Friák, M.; Deges, J.; Krein, R.; Stein, F.; Palm, M.; Frommeyer, G.; Neugebauer, J.: Combining Experimental and Computational Methods in the Development of Fe3Al-based Materials. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Wasserstoff in X-IP Stahl (ab initio): Einfluss von Defekten auf die Energetik und Dynamik von Wasserstoff in Manganstählen. X-IP Workshop, Duisburg, Germany (2009)
Neugebauer, J.: Material- und Werkstoffdesign am Computer: Möglichkeiten, Grenzen und Perspektiven. Kolloquium at Akademie der Wissenschaften, Düsseldorf, Germany (2009)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Influence of long-range C-C elastic interactions on the structural stability of dilute Fe-C solid solutions. Invited Talk at ICAMS, Bochum, Germany (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Using Ab Initio Calculations in Designing BCC Mg–Li Alloys for Ultra Light-Weight Applications. THERMEC'2009: International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS, Berlin, Germany (2009)
Hickel, T.; Körmann, F.; Dick, A.; Neugebauer, J.: First principles simulation of thermodynamic properties of iron and iron-based alloys. Thermec'2009. International conference on processing & manufacturing of advanced materials, Berlin, Germany (2009)
Freysoldt, C.; Pfanner, G.; Neugebauer, J.: What can EPR hyperfine parameters tell about the Si dangling bond? - A theoretical study. International conference on amorphous and nanoporous semiconductors (ICANS) 23, Utrecht, Netherlands (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Theory guided design of bcc Mg-Li alloys for ultra-light weight applications. ICSMA 15: International Conference on the Strength of Materials, Dresden, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. 15th International Conference of Strength of Materials, Dresden, Germany (2009)
Hickel, T.; Grabowski, B.; Körmann, F.; Dick, A.; Neugebauer, J.: The accuracy of first principles methods inpredicting thermodynamic properties of metals. XVIII International Material Research Conference, Cancun, Mexico (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Fundamental materials-design limits in ultra light-weight Mg-Li alloys determined from ab initio calculations. Seminar in the Department of Low Dimensional Structures and Metastable Phases at the Max Planck Institute for Metals Research, Stuttgart, Germany (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Ab initio determined materials-design limits in ultra light-weight Mg-Li alloys. Seminar in the Department of Strukture at the Institute of Physics of Materials of the Academy of Sciences of the Czech Republic and Institute of Chemistry of the Faculty of Sciences of Masaryk University, Brno, Czech Republic (2009)
Friák, M.; Sander, B.; Ma, D.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Ab-initio based multi-scale approaches to the elasticity of polycrystals. Seminar at the Department of Physical Metallurgy and Materials Testing at Montan Universität Leoben, Leoben, Austria (2009)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio calculation of phase boundaries in iron along the bcc-fcc transformation path and magnetism of iron overlayers. Seminar at the Department of Materials Physics at Montan Universität Leoben, Leoben, Austria (2009)
Neugebauer, J.: Materials Design based on Ab Initio Thermodynamics: Status, Perspectives, and Trends. Colloquium Talk at Institut für Materialprüfung, Werkstoffkunde und Festigkeitslehre, Universität Stuttgart, Stuttgart, Germany (2009)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
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…