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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…