Li, Y.; Gault, B.: Machine Learning Enhanced Tomographic Imaging of Chemical Short-range Order in Fe-based Solid Solutions. Microscopy and Microanalysis 30 (Supplement_1), pp. 44 - 45 (2024)
Kraemer, M.; Favelukis, B.; Sokol, M.; Rosen, B. A.; Eliaz, N.; Kim, S.-H.; Gault, B.: Facilitating Atom Probe Tomography of 2D MXene Films by In Situ Sputtering. Microscopy and Microanalysis 30 (6), pp. 1057 - 1065 (2024)
Sharma, V. M.; Svetlizky, D.; Das, M.; Tevet, O.; Krämer, M.; Kim, S.-H.; Gault, B.; Eliaz, N.: Microstructure and mechanical properties of bulk NiTi shape memory alloy fabricated using directed energy deposition. Additive Manufacturing 86, 104224 (2024)
Dubosq, R.; Camacho, A.; Rogowitz, A.; Zhang, S.; Gault, B.: Influence of high-strain deformation on major element mobility in garnet: Nanoscale evidence from atom probe tomography. Journal of Metamorphic Geology 42 (3), pp. 355 - 372 (2024)
Wang, Y.; Zhao, H.; Chen, X.; Gault, B.; Brechet, Y.; Hutchinson, C.: The effect of shearable clusters and precipitates on dynamic recovery of Al alloys. Acta Materialia 265, 119643 (2024)
Saksena, A.; Sun, B.; Dong, X.; Khanchandani, H.; Ponge, D.; Gault, B.: Optimizing site-specific specimen preparation for atom probe tomography by using hydrogen for visualizing radiation-induced damage. International Journal of Hydrogen Energy 50 (Part A), pp. 165 - 174 (2024)
Krämer, M.; Favelukis, B.; El-Zoka, A.; Sokol, M.; Rosen, B. A.; Eliaz, N.; Kim, S.-H.; Gault, B.: Near-Atomic Scale Perspective on the Oxidation of Ti3C2Tx MXenes: Insights from Atom Probe Tomography. Advanced Materials 23 (3), 2305183 (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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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…