Ducher, R.; Stein, F.; Palm, M.; Lacaze, J. C.: Nouvelle évaluation de la surface de liquidus du système ternaire Ti–Al–Fe. CPR “Intermetalliques base titane”, Seminar “Alliages TiAl”, Aspet, Haute-Garonne, France (2002)
Stein, F.; Palm, M.; Sauthoff, G.: New results on intermetallic phases, phase equilibria, and phase transformation temperatures in the Fe–Zr system. Materials Week 2000, München, Germany (2000)
Eumann, M.; Palm, M.; Sauthoff, G.: Constitution, Microstructure and Mechanical Properties of Ternary Fe–Al–Mo Alloys. EUROMAT 99, Munich, Germany (1999)
Palm, M.; Stein, F.: Phase Equilibria in the Al-rich part of the Al–Ti system. 2nd International Symposium on Gamma Titanium Aluminides, TMS Annual Meeting, San Diego, CA, USA (1999)
Palm, M.; Gorzel, A. H.; Letzig, D.; Sauthoff, G.: Structure and Mechanical Properties of Ti–Al–Fe Alloys at Ambient and High Temperatures. Structural Intermetallics 1997, Seven Springs, PA, USA (1997)
Palm, M.; Kainuma, R.; Inden, G.: Reinvestigation of Phase Equilibria in the Ti-rich Part of the Ti–Al System. Journées d´Automne 1996, Paris, France (1996)
Kainuma, R.; Palm, M.; Inden, G.: Experimentelle Untersuchungen der Hochtemperaturgleichgewichte im System Ti–Al. DGM Hauptversammlung 1993, Friedrichshafen, Germany (1993)
Palm, M.: Phase Equilibria and Phase Diagrams. Lecture: 4th MSIT Winter School on Materials Chemistry, Castle Ringberg, Tegernsee, February 16, 2020 - February 20, 2020
Palm, M.: Phase diagrams and phase transformations. Lecture: Education Seminar 5th International Workshop on Titanium Aluminides, Tokyo, Japan, August 28, 2016
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…
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.