Krein, R.; Schneider, A.; Sauthoff, G.; Frommeyer, G.: High-temperature properties of boride-strengthened Fe3Al-based alloys. 13th International Student's Day of Metallurgy, Leoben, Austria (2006)
Schneider, A.; Inden, G.: Simulation of the kinetics of precipitation reactions in ferritic steels. TMS Annual meeting 2005, Symposium 'Computional thermodynamics and phase transformations', San Francisco, CA, USA (2006)
Palm, M.; Schneider, A.; Stein, F.; Sauthoff, G.: Strengthening of Fe–Al-Based Alloys for High-Temperature Applications. 3rd Disc.Meeting on the Development of Innovative Iron Aluminium Alloys, Mettmann-Düsseldorf, Germany (2006)
Hassel, A. W.; Bello Rodriguez, B.; Milenkovic, S.; Schneider, A.: Directionally solidified eutectics as a route for the formation of self organised nanostructures. 56rd Meeting of the International Society of Electrochemistry, Busan, South Korea (2005)
Palm, M.; Schneider, A.; Stein, F.; Sauthoff, G.: Iron-Aluminium-Base Alloys for Structural Applications at High Temperatures: Needs and Prospects. EUROMAT 2005, Prague, Czech Republic (2005)
Bello Rodriguez, B.; Milenkovic, S.; Hassel, A. W.; Schneider, A.: Formation of self-organised nanostructures from directionally solidified eutectic alloys. 12th International Symposium on Metastable and nano Materials (ISMANAM), Paris, France (2005)
Bello Rodriguez, B.; Hassel, A. W.; Schneider, A.: Deposition of Noble Metals on Nanopores for the Formation of Nanodisc Electrodes. 207th Meeting of The Electrochemical Society, Québec City, Canada (2005)
Hassel, A. W.; Milenkovic, S.; Schneider, A.: Preparation of One-Dimensionally Structured Electrode Materials by Directional Solidification. 207th Meeting of The Electrochemical Society, Québec City, Canada (2005)
Eleno, L. T. F.; Balun, J.; Inden, G.; Houserova, J.; Schneider, A.: Experimental study and thermodynamic modelling of the Fe-Ta equilibrium phase diagram. TOFA, Discussion Meeting on Thermodynamics of Alloys, Wien, Austria (2004)
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…