Schuster, J. C.; Palm, M.: Ressessment of the Binary Aluminium – Titanium Phase Diagram. Journal of Phase Equilibria and Diffusion 27 (3), pp. 255 - 277 (2006)
Stein, F.; Palm, M.; Sauthoff, G.: Mechanical Properties and Oxidation Behaviour of Two-Phase Iron Aluminium Alloys with Zr(Fe,Al)2 Laves Phase or Zr(Fe,Al)12 τ1 Phase. Intermetallics 13 (12), pp. 1275 - 1285 (2005)
Stein, F.; Palm, M.; Sauthoff, G.: Structure and stability of Laves phases. Part II: Structure type variations in binary and ternary systems. Intermetallics 13 (10), pp. 1056 - 1074 (2005)
Wasilkowska, A.; Bartsch, M.; Stein, F.; Palm, M.; Sauthoff, G.; Messerschmidt, U.: Plastic deformation of Fe–Al polycrystals strengthened with Zr-containing Laves phases: Part II. Mechanical properties. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 381 (1-2), pp. 1 - 15 (2004)
Stein, F.; Palm, M.; Sauthoff, G.: Structure and stability of Laves phases. Part I - Critical assessment of factors controlling Laves phase stability. Intermetallics 12 (7-9), pp. 713 - 720 (2004)
Eumann, M.; Palm, M.; Sauthoff, G.: Iron-rich iron-aluminium-molybdenum alloys with strengthening intermetallic mu phase and R phase precipitates. Steel Research International 75 (1), pp. 62 - 73 (2004)
Löffler, F.; Palm, M.; Sauthoff, G.: Iron-Rich Iron-Titanium-Silicon Alloys with Strengthening Intermetallic Laves Phase Precipitates. steel research international 75 (11), pp. 766 - 772 (2004)
Palm, M.; Sauthoff, G.: Deformation Behaviour and Oxidation Resistance of Single-Phase and Two-Phase L21 Fe–Al–Ti Alloys. Intermetallics 12 (12), pp. 1345 - 1359 (2004)
Palm, M.; Preuhs, J.; Sauthoff, G.: Production scale processing of a new intermetallic NiAl-Ta-Cr alloy for high-temperature application: Part II. Powder metallurgical production of bolts by hot isostatic pressing. Journal of Materials Processing Technology 136 (1-3), pp. 114 - 119 (2003)
Palm, M.; Preuhs, J.; Sauthoff, G.: Production-scale processing of a new intermetallic NiAl-Ta-Cr alloy for high-temperature application: Part I. Production of master alloy remelt ingots and investment casting of combustor liner model panels. Journal of Materials Processing Technology 136 (1-3), pp. 105 - 113 (2003)
Palm, M.; Zhang, L.; Stein, F.; Sauthoff, G.: Phases and phase equilibria in the Al-rich part of the Al–Ti system above 900 °C. Intermetallics 10 (6), pp. 523 - 540 (2002)
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
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…
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…
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.