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 2021, Imperial College London, UK, 2021-04 - 2021-07
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 2020, an interdepartmental software task force (STF) was formed to serve as a forum for discussion on topics related to software development and digital workflows at the MPIE. A central goal was to facilitate interdepartmental collaboration by co-developing and integrating workflows, aligning internally developed software, and rolling out…
In collaboration with Dr. Edgar Rauch, SIMAP laboratory, Grenoble, and Dr. Wolfgang Ludwig, MATEIS, INSA Lyon, we are developing a correlative scanning precession electron diffraction and atom probe tomography method to access the three-dimensional (3D) crystallographic character and compositional information of nanomaterials with unprecedented…
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.
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.