Tsybenko, H.; Dehm, G.; Brinckmann, S.: Deformation and chemical evolution during tribology in cementite. Materials Science and Engineering Congress (MSE) 2020, online, Darmstadt, Germany (2020)
Hosseinabadi, R.; Dehm, G.; Kirchlechner, C.: Size effect in bi-crystalline Cu micropillars with a coherent twin boundary. DGM Arbeitskreistreffen Rasterkraftmikroskopie und nanomechanische Methoden, online (2020)
Duarte, M. J.; Fang, X.; Rao, J.; Dehm, G.: Hydrogen-microstructure interactions at small scale by in-situ nanoindentation during hydrogen charging. Nanobrücken 2020: A nanomechanical Testing Conference, Düsseldorf, Germany (2020)
Dehm, G.: Probing the mechanics of dislocation - grain boundary interactions: Lessons learned from in situ microcompression experiments. 14th International Conference on Local Mechanical Properties 2019 (plenary), Prague, Czech Republic (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. KSM Annual Fall Conference 2019, Gyeongju, South Korea (2019)
Stein, F.; Luo, W.; Kirchlechner, C.; Dehm, G.: Micromechanics of Laves Phases: Strength, Fracture Toughness, and Hardness as Function of Composition and Crystal Structure. Joint EPRI-123 HiMAT Conference on Advances in High Temperature Materials, Nagasaki, Japan (2019)
Dehm, G.: Do we understand the microstructure and properties of materials: New insights by advanced microscopy techniques. Metallurgical Engineering and Materials Science Department, Indian Institute of Technology, Mumbai, India (2019)
Dehm, G.: Resolving grain boundary phase transformations by advanced STEM for fcc metals and multinary alloys. 6th International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM-2019), Chennai, India (2019)
Dehm, G.: Micro- and Nanomechanical Testing of Materials - From Materials Physics to Materials Design. Convegno Nazionale INSTM XII, Ischia Porto, Italy (2019)
Liebscher, C.; Meiners, T.; Peter, N. J.; Frolov, T.; Dehm, G.: Experimental discovery of grain boundary phase transformations unveiled by atomistic simulations. PICS3 2019 Meeting, Centre Interdisciplinaire de Nanoscience de Marseille, Marseille, France (2019)
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
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.