Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Role of temperature on micromechanical fracture behavior of Laves phase in Mg–Al–Ca ternary alloy. FEMS Euromat 2023, Frankfurt am Main, Germany (2023)
Brink, T.; Langenohl, L.; Ahmad, S.; Liebscher, C.; Dehm, G.: Atomistic Modeling of the Thermodynamics of Grain Boundaries in fcc Metals. 19th International Conference on Diffusion in Solids and Liquids, Crete, Greece (2023)
Dehm, G.: Grain boundary phases in metallic materials: Structure, stability and properties. MiFuN III - Microstructural Functionality at the Nanoscale, Venice, Italy (2023)
Dehm, G.: On the interplay between grain boundary complexions and chemical composition for fcc metals. Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2023, Bernkastel-Kues, Germany (2023)
Brink, T.; Bhat, M. K.; Best, J. P.; Dehm, G.: Grain-boundary segregation effects on bicrystal Cu pillar compression. DPG Spring Meeting, Dresden, Germany (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Microscale fracture behavior of Laves phases in the Mg–Ca–Al ternary alloy system. 86. Annual Meeting of DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Matter and Cosmos Section (SMuK), Dresden, Germany (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Microscale fracture behavior of Laves phases in the Mg–Ca–Al ternary alloy system. DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (SKM), Dresden, Germany (2023)
Pemma, S.; Janisch, R.; Dehm, G.; Brink, T.: Deformation mechanism of complexions in a Cu grain boundary under shear. FEMS EUROMAT 2023, Frankfurt am Main, Germany (2023)
Pemma, S.; Janisch, R.; Dehm, G.; Brink, T.: Disconnection activation in complexions of a Cu grain boundary under shear. 19th International Conference on Diffusion in Solids and Liquids (DSL-2023), Heraklion, Greece (2023)
Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Dehm, G.; Ghidelli, M.: Effect of composition and nanolayering on mechanical properties of Zr100-xCux thin film metallic glasses. Talk at Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium (2022)
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
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.