Makineni, S. K.; Raabe, D.; Gault, B.: Development of high temperature Mo–Si–B based alloy through Laser Additive Manufacturing. Intermetallics 2017, Bad Staffelstein, Germany (2017)
Rusitzka, A. K.; Stephenson, L.; Gremer, L.; Raabe, D.; Willbold, D.; Gault, B.: Getting insights to Alzheimer‘s disease by atom probe tomography. 6th International caesar conference, Overcoming Barriers — atomic-resolution and beyond: advances in molecular electron microscopy, Bonn, Germany (2017)
Kwiatkowski da Silva, A.; Ponge, D.; Inden, G.; Gault, B.; Raabe, D.: Physical Metallurgy of segregation, austenite reversion, carbide precipitation and related phenomena in medium Mn steels. Gordon Research Conference: Physical Metallurgy, Biddeford, ME, USA (2017)
Gault, B.: Graduate course on Atom Probe Tomography, as part of the Centre for Doctoral Training on Materials Charactisation. Lecture: SS 2024, Imperial College London, UK, 2024-04 - 2024-07
Gault, B.: Graduate course on Atom Probe Tomography, as part of the Centre for Doctoral Training on Materials Charactisation. Lecture: SS 2023, Imperial College London, UK, 2023-04 - 2023-07
Gault, B.: Graduate course on Atom Probe Tomography, as part of the Centre for Doctoral Training on Materials Charactisation. Lecture: SS 2022, Imperial College London, UK, 2022-04 - 2022-07
Gault, B.: Graduate course on Atom Probe Tomography, as part of the Centre for Doctoral Training on Materials Charactisation. Lecture: SS 2021, Imperial College London, UK, 2021-04 - 2021-07
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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.