Schwarz, T.; Wieland, F.; Zeller-Plumhoff, B.; Gault, B.: On the trail of Mg - Incorporation and diffusion of Mg into the bone structure during the biodegradation of a MgGd screw. 17th Biometal 2025 Symposium, Cetraro, Italy (2025)
Hsu, Y.-L.; Dumont, M.; Jang, K.; Gault, B.; Schwarz, T. M.: Understanding the structure of dinosaur enamel at a near-atomic scale. Advanced imaging techniques in biomineralisation research, Edinburgh, Scotland (2025)
Schwarz, T.; Hsu, Y.-L.; Dumont, M.; Garcia-Giner, V.; Jung, C.; Porter, A.; Gault, B.: Atom probe tomography – a new technique to understand biominerals/materials on the atomic scale. 8th BioMAT 2025 - Symposium on Biomaterials and Related Areas, Weimar, Germany (2025)
Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)
Krämer, M.; Favelukis, B.; El-Zoka, A.; Sokol, M.; A. Rosen, B.; Eliaz, N.; Kim, S.-H.; Gault, B.: Compositional mapping of 2D MXenes at the near-atomic-scale by atom probe tomography. EUROMXENE Congress 2024, Valencia, Spain (2024)
Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)
Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)
Woods, E.; Aota, L. S.; Schwarz, T.; Kim, S.-H.; Douglas, J. O.; Singh, M. P.; Gault, B.: In-situ cryogenic protective layers and metal coatings in cryogenic FIB. IMC20 - 20th International Microscopy Congress - Pre-congress workshop, Cryogenic Atom Probe Tomography, Busan, South Korea (2023)
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.