Li, X.; Shang, C.; Ma, X.; Gault, B.; Subramanian, S.; Sun, J.; Misra, R. D. K.: Elemental distribution in the martensite–austenite constituent in intercritically reheated coarse-grained heat-affected zone of a high-strength pipeline steel. Scripta Materialia 139, pp. 67 - 70 (2017)
Ma, X.; Langelier, B.; Gault, B.; Subramanian, S.: Effect of Nb Addition to Ti-Bearing Super Martensitic Stainless Steel on Control of Austenite Grain Size and Strengthening. Metallurgical and Materials Transactions A 48 (5), pp. 2460 - 2471 (2017)
Peng, Z.; Choi, P.-P.; Gault, B.; Raabe, D.: Evaluation of analysis conditions for laser-pulsed atom probe tomography: example of cemented tungsten carbide. Microscopy and Microanalysis 23 (2), pp. 431 - 442 (2017)
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
In order to develop more efficient catalysts for energy conversion, the relationship between the surface composition of MXene-based electrode materials and its behavior has to be understood in operando. Our group will demonstrate how APT combined with scanning photoemission electron microscopy can advance the understanding of complex relationships…