Torkornoo, S.; Bohner, M.; McCarroll, I.; Gault, B.: Optimization of Parameters for Atom Probe Tomography Analysis of β-Tricalcium Phosphates. Microscopy and Microanalysis 30 (6), pp. 1074 - 1082 (2024)
Li, Y.; Gault, B.: Machine Learning Enhanced Tomographic Imaging of Chemical Short-range Order in Fe-based Solid Solutions. Microscopy and Microanalysis 30 (Supplement_1), pp. 44 - 45 (2024)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Recently developed dual-phase high entropy alloys (HEAs) exhibit both an increase in strength and ductility upon grain refinement, overcoming the strength-ductility trade-off in conventional alloys [1]. Metastability engineering through compositional tuning in non-equimolar Fe-Mn-Co-Cr HEAs enabled the design of a dual-phase alloy composed of…