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)
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)
Belkacemi, L. T.; Gault, B.; Esin, V.; Epp, J.: Ga-induced delithiation of grain boundaries in a Li containing Al-based alloy. Materials Characterization 199, 112812 (2023)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
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.
This project with the acronym GB-CORRELATE is supported by an Advanced Grant for Gerhard Dehm by the European Research Council (ERC) and started in August 2018. The project GB-CORRELATE explores the presence and consequences of grain boundary phase transitions (often termed “complexions” in literature) in pure and alloyed Cu and Al. If grain size…
This project deals with the phase quantification by nanoindentation and electron back scattered diffraction (EBSD), as well as a detailed analysis of the micromechanical compression behaviour, to understand deformation processes within an industrial produced complex bainitic microstructure.