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)
Khanchandani, H.; Stephenson, L.; Raabe, D.; Zaefferer, S.; Gault, B.: Hydrogen/Deuterium Charging Methods for the Investigation of Site-Specific Microstructural Features by Atom Probe Tomography. Microscopy and Microanalysis 28 (S1), p. 1664 (2022)
Kim, S.-H.; El-Zoka, A.; Gault, B.: A Liquid Metal Encapsulation for Analyzing Porous Nanomaterials by Atom Probe Tomography. Microscopy and Microanalysis 28 (4), pp. 1198 - 1206 (2022)
Rousseau, L.; Maillet, J.-B.; Stephenson, L.; Gervais, B.; Gault, B.; Vurpillot, F.: Mysterious Field Evaporation Behavior of Hydrogen in Aluminium Based Material Analyzed with Atom Probe Tomography. Microscopy and Microanalysis 28 (S1), pp. 690 - 691 (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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.