Kini, M. K.; Nandy, S.; Best, J. P.; Dehm, G.: Deformation of CoCrFeNi alloy thin films under thermal fatigue. International Conference on Creep and Fracture of Engineering Materials and Structures CREEP 2024, Bangalore, India (2024)
Kanjilal, A.; Best, J. P.; Dehm, G.: Using in-situ nano- and micromechanical testing to probe the fracture behavior of intermetallic Laves phase materials. 7th International Indentation Workshop – IIW7, Hyderabad, India (2023)
Dehm, G.: Resolving the interplay of structure and energy landscapes of tilt grain boundaries in metals. 3rd ELSICS Conference and Bunsen-Colloquium “Energy Landscapes and Structure in Ion Conducting Solids (ELSICS)”, Ulm, Germany (2023)
Dehm, G.; Liebscher, C.: In situ TEM study of deformation and phase transformation mechanisms in chemically complex alloys. Symposium In-situ & Environmental Microscopy, 20th International Microscopy Congress, Busan, Korea (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Role of temperature on micromechanical fracture behaviour of Laves phase in Mg–Al–Ca ternary alloy. FEMS EUROMAT 2023, Frankfurt, Germany (2023)
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)
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…
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…