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)
Dehm, G.: Do we understand the interplay of microstructure and properties of materials: New insights by advanced microscopy techniques. MPI CPFS, Dresden, Germany (2019)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: High temperature mechanical characterization of binary Cu–X alloys produced by Combinatorial Synthesis. International conference on metallurgical coatings and thin films (ICMCTF) 2019, San Diego, CA, USA (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. Joint Max-Planck-Institut für Eisenforschung MPIE) / Ernst Ruska-Centre (ER-C) Workshop, Düsseldorf, Germany (2019)
Kini, M. K.; Kirchlechner, C.; Dehm, G.: Slip transmission across multiple coherent twin boundaries in nanotwinned Ag. Seminar on "Slip Transmission in nanotwinned Ag", Indian Institute of Science, Department of Materials Engineering, Bangalore, India (2019)
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…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
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.