Aota, L. S.; Jung, C.; Zhang, S.; Kim, S.-H.; Gault, B.: Revealing Compositional Evolution of PdAu Electrocatalyst by Atom Probe Tomography. ACS Energy Letters 8 (6), pp. 2824 - 2830 (2023)
Dubosq, R.; Woods, E.; Gault, B.; Best, J. P.: Electron microscope loading and in situ nanoindentation of water ice at cryogenic temperatures. PLoS One 18 (2), e0281703 (2023)
Kim, S.-H.; Jun, H.; Jang, K.; Choi, P.-P.; Gault, B.; Jung, C.: Exploring the Surface Segregation of Rh Dopants in PtNi Nanoparticles through Atom Probe Tomography Analysis. The Journal of Physical Chemistry C 127 (46), pp. 22721 - 22725 (2023)
Singh, M. P.; Woods, E.; Kim, S.-H.; Jung, C.; Aota, L. S.; Gault, B.: Facilitating the Systematic Nanoscale Study of Battery Materials by Atom Probe Tomography through in-situ Metal Coating. Batteries & Supercaps 7 (2), e202300403 (2023)
Zhu, Y.; Heo, T. W.; Rodriguez, J. N.; Weber, P. K.; Shi, R.; Baer, B. J.; Morgado, F. F.; Antonov, S.; Kweon, K. E.; Watkins, E. B.et al.; Savage, D. J.; Chapman, J. E.; Keilbart, N. D.; Song, Y.; Zhen, Q.; Gault, B.; Vogel, S. C.; Sen-Britain, S. T.; Shalloo, M. G.; Orme, C.; Bagge-Hansen, M.; Hahn, C.; Pham, T. A.; Macdonald, D. D.; Qiu, R. S.; Wood, B. C.: Hydriding of titanium: Recent trends and perspectives in advanced characterization and multiscale modeling. Current Opinion in Solid State and Materials Science 26, 101020 (2022)
Saksena, A.; Kubacka, D.; Gault, B.; Spieker, E.; Kontis, P.: The effect of γ matrix channel width on the compositional evolution in a multi-component nickel-based superalloy. Scripta Materialia 219, 114853 (2022)
Antonov, S.; Tan, Q.; Gault, B.: Hydride Formation and Deformation Mechanisms in Commercially Pure Titanium. Microscopy and Microanalysis 28 (S1), pp. 1634 - 1636 (2022)
Dubosq, R.; Schneider, D.; Zhou, X.; Gault, B.; Langelier, B.; Pleše, P.: Bubbles and atom clusters in rock melts: A chicken and egg problem. Journal of Volcanology and Geothermal Research 428, 107574 (2022)
Jenkins, B. M.; Haley, J.; Meier, M.; Jones, M. E.; Gault, B.; Burr, P. A.; Moody, M. P.; Grovenor, C. R. M.: Preliminary Atom Probe Tomography Evidence for Hydrogen Trapping at a β-Nb Second Phase Particle in a Neutron-irradiated Zirconium Alloy. Microscopy and Microanalysis 28 (S1), pp. 1658 - 1659 (2022)
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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…