Jenkins, B. M.; Haley, J.; Chen, L.; Gault, B.; Burr, P. A.; Callow, A.; Moody, M. P.; Grovenor, C. R.M.: Experimental and modelling evidence for hydrogen trapping at a β-Nb second phase particle and Nb-rich nanoclusters in neutron-irradiated low Sn ZIRLO. Journal of Nuclear Materials 587, 154755 (2023)
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)
Katnagallu, S.; Nematollahi, G. A.; Dagan, M.; Moody, M. P.; Grabowski, B.; Gault, B.; Raabe, D.; Neugebauer, J.: High Fidelity Reconstruction of Experimental Field Ion Microscopy Data by Atomic Relaxation Simulations. In: Proceedings of Microscopy & Microanaalysis 2017, Vol. 23, pp. 642 - 643. Microscopy and Microanalysis 2017, St. Louis, MO, USA, August 06, 2017 - August 10, 2017. Cambridge University Press, New York, NY, USA (2017)
Parviainen, S.; Dagan, M.; Katnagallu, S.; Gault, B.; Moody, M. P.; Vurpillot, F.: Atomistic Simulations of Surface Effects Under High Electric Fields. In: Proceedings of Microscopy & Microanalysis 2017, Vol. 23, pp. 644 - 645. Microscopy & Microanalysis 2017, St. Louis, Missouri, USA, August 06, 2017 - August 10, 2017. (2017)
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…
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.