Jenko, D.; Palm, M.: Transmission electron microscopy of the Fe–Al–Ti–B alloys with additions of Mo. 19th International Microscopy Congress (IMC19), Sidney, Australia (2018)
Prokopčáková, P.; Švec, M.; Lotfian, S.; Palm, M.: Microstructure – property relationships of iron aluminides. 64. Metallkunde-Kolloquium Montanuniversität Leoben, Lech am Arlberg, Austria (2018)
Peng, J.; Moszner, F.; Vogel, D.; Palm, M.: Influence of the Al content on the aqueous corrosion resistance of binary Fe–Al alloys in H2SO4. Intermetallics 2017, Educational Center Kloster Banz, Bad Staffelstein, Germany (2017)
Peng, J.; Vogel, D.; Palm, M.: Influence of the Al content on the corrosion resistance of binary Fe–Al alloys in H2SO4. EUROMAT 2017 – European Congress and Exhibition on Advanced Materials and Processes, Thessaloniki, Greece (2017)
Palm, M.: Development and processing of advanced iron aluminide alloys for application at high temperatures. 62. Metallkunde Kolloquium
, Lech am Arlberg, Austria (2016)
Marx, V. M.; Palm, M.: The wet and hot corrosion behavior of iron aluminides. THERMEC 2016 – Int. Conf. on Processing & Manufacturing of Advanced Materials
, Graz, Austria (2016)
Palm, M.: Iron aluminides: From alloy development to processing. The Materials Chain from Discovery to Production (contributed talk), Bochum, Germany (2016)
Hasemann, G.; Gang, F.; Palm, M.; Bogomol, I.; Krüger , M.: Determining the ternary eutectic alloy composition on the Mo-rich side of the Mo–Si–B system. Advances in Materials & Processing Technologies – AMPT 2015, Madrid, Spain (2015)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…