El-Zoka, A.; Kim, S.-H.; Khanchandani, H.; Stephenson, L.; Gault, B.: Advances in Cryo-Atom Probe Tomography Studies on Formation of Nanoporous Metals by Dealloying (Digital Presentation). In ECS Meeting Abstracts, MA2022-01 (47), p. 1983. The Electrochemical Society (2022)
El-Zoka, A.: Materials Degradation: Turning a problem into a solution. Colloquium on Integrated Metallic Nanomaterials Systems, Hamburg, Germany (2021)
El-Zoka, A.: Towards Enhanced Atom Probe Tomography Characterization of Wet Corrosion Systems. (SCI Electrochemistry Postgraduate Conference, Manchester, UK (2021)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
In this ongoing project, we investigate spinodal fluctuations at crystal defects such as grain boundaries and dislocations in Fe-Mn alloys using atom probe tomography, electron microscopy and thermodynamic modeling [1,2].
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.