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
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.
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…