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, 2305183 (2024)
Jenkins, B. M.; Haley, J.; Chen, L.; Gault, B.; Burr, P. A.; Callow, A.; Moody, M. P.; Grovenor, C. R.M.: Experimental and modelling evidence for hydrogen trapping at a β-Nb second phase particle and Nb-rich nanoclusters in neutron-irradiated low Sn ZIRLO. Journal of Nuclear Materials 587, 154755 (2023)
Woods, E.; Singh, M. P.; Kim, S.-H.; Schwarz, T.; Douglas, J. O.; El-Zoka, A.; Giulani, F.; Gault, B.: A versatile and reproducible cryo-sample preparation methodology for atom probe studies. Microscopy and Microanalysis, ozad120 29 (6), pp. 1992 - 2003 (2023)
Buttard, M.; López Freixes, M.; Josserond, C.; Donnadieu, P.; Chéhab, B.; Blandin, J.-J.; Gault, B.; De Geuser, F.; Martin, G.: Ageing response and strengthening mechanisms in a new Al–Mn–Ni–Cu–Zr alloy designed for laser powder bed fusion. Acta Materialia 259, 119271 (2023)
Dubosq, R.; Schneider, D.; Alfredo, C.; Gault, B.: Strain hardening induced by crystal plasticity: A new mechanism for brittle failure in garnets. Earth and Planetary Science Letters 617, 118273 (2023)
Khanchandani, H.; Gault, B.: Atomic scale understanding of the role of hydrogen and oxygen segregation in the embrittlement of grain boundaries in a twinning induced plasticity steel. Scripta Materialia 234, 115593 (2023)
Rao, Z.; Li, Y.; Zhang, H.; Colnaghi, T.; Marek, A.; Rampp, M.; Gault, B.: Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms. Scripta Materialia 234, 115542 (2023)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
By using the DAMASK simulation package we developed a new approach to predict the evolution of anisotropic yield functions by coupling large scale forming simulations directly with crystal plasticity-spectral based virtual experiments, realizing a multi-scale model for metal forming.
The aim of this project is to correlate the point defect structure of Fe1-xO to its mechanical, electrical and catalytic properties. Systematic stoichiometric variation of magnetron-sputtered Fe1-xO thin films are investigated regarding structural analysis by transition electron microscopy (TEM) and spectroscopy methods, which can reveal the defect…
In collaboration with Dr. Edgar Rauch, SIMAP laboratory, Grenoble, and Dr. Wolfgang Ludwig, MATEIS, INSA Lyon, we are developing a correlative scanning precession electron diffraction and atom probe tomography method to access the three-dimensional (3D) crystallographic character and compositional information of nanomaterials with unprecedented…