Dehm, G.: Experimental Insights in Congruent and Non-Congruent Grain Boundary Phase Transformations in Copper by Advanced STEM. International Seminars, Technion - Israel Institute of Technology (Israel), Purdue University (USA), virtual (2021)
Dehm, G.: Congruent and non-congruent grain boundary phase transformations in Copper studied by advanced STEM. Virtual Seminar of Institute Jozef Stefan, Ljubljana, Slovenia (2021)
Liebscher, C.; Lu, W.; Dehm, G.; Raabe, D.; Li, Z.: Complex phase transformation pathways in high entropy alloys explored by in situ S/TEM. Third International Conference on High Entropy Materials, Berlin, Germany (2020)
Ahmad, S.; Liebscher, C.; Dehm, G.: To decipher the novel atomic structure of [111] tilt grain boundaries in Al. Material Science and Engineering Congress - MSE 2020, virtual, Darmstadt, Germany (2020)
Devulapalli, V.; Dehm, G.; Liebscher, C.: Unravelling grain boundary structures in Ti thin films using aberration-corrected transmission electron microscopy. MSE Darmdtadt (Virtual), Darmstadt, Germany (2020)
Saood, S.; Liebscher, C.; Dehm, G.: Observing the atomic structure of high angle [111] tilt grain boundaries in Al. Materials Science and Engineering Congress MSE 2020, virtual (2020)
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)
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
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…
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…
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.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.