Torkornoo, S.; Kang, Y.; Woods, E.; Wieland, D. C. F.; Zeller-Plumhoff, B.; Gault, B.; Schwarz, T.: In Vivo Degradation Pathways of Mg-10Gd Biodegradable Implants Revealed by Atom Probe Tomography. 34th Annual Conference of European Society for Biomaterials, Turin, Italy (2025)
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)
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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…