Frommeyer, G.; Brokmeier, K.; Brüx, U.; Deges, J.; Knippscheer, S.: Innovative Werkstoffe für die fortgeschrittene Schmiedetechnologie. Int. Konf. Neuere Entwicklungen in der Massivumformung, Stuttgart, Germany, May 12, 2009 - May 13, 2009. Int. Konf. Neuere Entwicklungen in der Massivumformung, pp. 289 - 318 (2009)
Frommeyer, G.; Brüx, U.; Brokmeier, K.; Rablbauer, R.: Development, Microstructures and Properties of Advanced High-Strength and Supra-Ductile Light-Weight Steels. International Conference on Processing and Manufacturing of Advanced Materials -Thermec 2009, Berlin, Germany (2009)
Frommeyer, G.; Brokmeier, K.; Knippscheer, S.: Innovative Materials for Advanced Forming Technology. International Conference on New Developments in Forging Technology, Stuttgart, Fellbach, Germany (2009)
Frommeyer, G.; Rablbauer, R.; Brokmeier, K.: Das Potential von hochfesten und supraduktilen Fe–Mn–Al–Si–C Stählen für den zukünftigen Karosserieleichtbau - Stand der Technik und Entwicklungstrends. WAMM World Automotive Materials Meeting 2008, Bad Nauheim/Frankfurt, Germany (2008)
Frommeyer, G.; Rablbauer, R.; Brokmeier, K.: Entwicklung und Eigenschaften ultrahochfester und supraduktiler Stähle für den Fahrzeugbau. Clausthal Industriekolloquium Sonderforschungsbereich 675, Clausthal (2007)
Brokmeier, K.: Improving the fomability and strength of light-weight Fe-Mn-Al-Si steels. 3rd Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Mettmann, Germany (2006)
Brokmeier, K.; Frommeyer, G.: High carbon lightweight iron-manganese-TRIP/TWIP-steels with improved formability and strength. 17. International Federation for Heat Treatment and Surface Engineering (IFHTSE), Kobe, Japan (2008)
Brokmeier, K.: High carbon light-weight Fe-Mn-TRIP/TWIP-steels with improved formability and strength. 7th European Symposium on Martensitic Transformation and Shape Memory Alloys, Bochum, Germany (2006)
Brokmeier, K.: Higher content of carbon improves the formability and strength of light-weight Fe–Mn–Al–Si TRIP-steels. European Congress on Advanced Materials and Processes, Prague, Czech Republic (2005)
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
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…