Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Efficient approach to compute melting properties fully from ab initio with application to Cu. MPIE-ICAMS workshop, Ebernburg, Germany (2017)
Grabowski, B.: Data driven engineering of advanced materials: Combining high precision and scale bridging. Colloquium at Forschungszentrum Jülich, Jülich, Germany (2017)
Grabowski, B.: Development and application of quantum mechanics based simulation tools for the design of modern metallic materials. Seminar at RWTH Aachen, Aachen, Germany (2017)
Grabowski, B.: Discovery of an ordered hexagonal superstructure in an Al–Hf–Sc–Ti–Zr high entropy alloy. Seminar at University of Münster, Münster, Germany (2016)
Grabowski, B.: Discovery of an orderered hexagonal superstructure in an Al–Hf–Sc–Ti–Zr high entropy alloy. Seminar, Universität Münster, Münster, Germany (2016)
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Development of methodologies to efficiently compute melting properties fully from ab initio. 2nd German-Dutch Workshop on Computational Materials Science, Domburg, The Netherlands (2016)
Grabowski, B.: Entwicklung von quantenmechanischen Simulationsmethoden für das Design moderner metallischer Werkstoffe. Seminar at University Paderborn, Paderborn, Germany (2016)
Grabowski, B.: Entwicklung von quantenmechanischen Simulationsmethoden für das Design moderner metallischer Werkstoffe. Seminar at Universität Paderborn, Paderborn, Germany (2016)
Körmann, F.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Lattice excitations in magnetic alloys: Recent advances in ab initio modeling of coupled spin and atomic fluctuations. TMS Annual Meeting 2016, Nashville, TN, USA (2016)
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
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.
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
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.