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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…