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)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project aims to investigate the influence of grain boundaries on mechanical behavior at ultra-high strain rates and low temperatures. For this micropillar compressions on copper bi-crystals containing different grain boundaries will be performed.
The objective of the project is to investigate grain boundary precipitation in comparison to bulk precipitation in a model Al-Zn-Mg-Cu alloy during aging.
This project aims to develop a testing methodology for the nano-scale samples inside an SEM using a high-speed nanomechanical low-load sensor (nano-Newton load resolution) and high-speed dark-field differential phase contrast imaging-based scanning transmission electron microscopy (STEM) sensor.
Understanding hydrogen-microstructure interactions in metallic alloys and composites is a key issue in the development of low-carbon-emission energy by e.g. fuel cells, or the prevention of detrimental phenomena such as hydrogen embrittlement. We develop and test infrastructure, through in-situ nanoindentation and related techniques, to study…