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)
Hosseinabadi, R.; Riesch-Oppermann, H.; Best, J. P.; Dehm, G.; Kirchlechner, C.: Size-dependent coherent twin boundary strength contribution in Cu micropillars. Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Hosseinabadi, R.; Riesch-Oppermann, H.; Best, J. P.; Dehm, G.; Kirchlechner, C.: Size effect in bi-crystalline Cu micropillars with a coherent twin boundary. ECI conference 2022, Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Jentner, R.; Best, J. P.; Kirchlechner, C.; Dehm, G.: Challenges in the phase identification of steels using unsupervised clustering of nanoindentation data. Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Pemma, S.; Brink, T.; Janisch, R.; Dehm, G.: Stress driven grain boundary migration for different complexions of a Cu tilt grain boundary. Materials Science and Engineering Congress 2022, Darmstadt, Germany (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
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…
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.