Dehm, G.; Scheu, C.; Bamberger, M. S.: Microstructure of Iron Substrates Borided with Ni2B Particles by Laser-Induced Surface-Alloying. Zeitschrift für Metallkunde 90 (11), pp. 920 - 929 (1999)
Microstructure of Ni2B Laser-Induced Surface-Alloyed α-Fe (Materials Resaerch Symposium Proceedings, Phase Transformations and Systems Driven far from Equilibrium, 481). MRS Fall Meeting´97, Boston, MA, USA. (2001)
Rashkova, B.; Cohen, S. S.; Goren-Muginstein, G.; Bamberger, M. S.; Dehm, G.: Analytical and high resolution TEM analysis of precipitation hardening in Mg–Zn–Sn alloys. In: Proceedings of the 7th Multinational Congress on Microscopy 2005, pp. 183 - 184 (Eds. Ceh, M.; Drazic, G.; Fidler, S.). 7th Multinational Congress on Microscopy 2005, Portorož, Slovenia, June 26, 2005 - June 30, 2005. (2005)
Cohen, S. S.; Goren-Muginstein, G. R.; Avraham, S.; Dehm, G.; Bamberger, M. S.: Phase formation, precipitation and strengthening mechanisims in Mg–Zn–Sn and Mg–Zn–Sn–Ca alloys. In: Symposium on Magnesium Technology 2004, pp. 301 - 305. TMS Annual Meeting, Charlotte, NC, USA, March 14, 2004 - March 18, 2004. (2004)
Dehm, G.; Bamberger, M. S.: Microstructure and Properties of Ferrous Substrates Laser-Alloyed with Boride Particles. In: Proc. of the European Conference on Laser Treatment of Materials, pp. 221 - 226 (Ed. Mordike, B. L.). ECLAT 98, Hannover, Germany, September 22, 1998 - September 23, 1998. Werkstoff-Informationsgesellschaft mbH, Frankfurt, Germany (1998)
Medres, B.; Shepeleva, L.; Ryk, G.; Dehm, G.; Bamberger, M. S.; Kaplan, W. D.: The Pecularities of Steels Laser Treatment with CrB2 and Ni2B Powders. In: ICALEO '98: laser materials processing conference: proceedings, Vol. 2, pp. D51 - D57. International Congress on Applications of Lasers and Electro-Optics’98, Orlando, FL, USA. (1998)
Dehm, G.; Scheu, C.; Bamberger, M. S.: Microstructure of Ni2B Laser-Induced Surface-Alloyed α-Fe. In: Laser Materials Processing, Vol. 83a, pp. 128 - 137. International Congress on Applications of Lasers and Electro-Optics’97, San Diego, CA, USA, 1997. (1997)
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
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.