Shen, F.; Sparrer, Y.; Rao, J.; Koenemann, M.; Muenstermann, S.; Lian, J.: A forming limit framework accounting for various failure mechanisms: Localization, ductile and cleavage fracture. International Journal of Plasticity 175, 103921 (2024)
Rao, J.; Lee, S.; Dehm, G.; Duarte, M. J.: Hardening effect of diffusible hydrogen on BCC Fe-based model alloys by in situ backside hydrogen charging. Materials and Design 232, 112143 (2023)
Duarte, M. J.; Fang, X.; Rao, J.; Krieger, W.; Brinckmann, S.; Dehm, G.: In situ nanoindentation during electrochemical hydrogen charging: a comparison between front-side and a novel back-side charging approach. Journal of Materials Science 56 (14), pp. 8732 - 8744 (2021)
Dehm, G.; Rao, J.; Duarte, M. J.: Impact of Hydrogen on Dislocation Nucleation and Strength in bcc Fe–Cr alloys. TMS 2022 Annual Meeting, Symposium “Mechanical Behavior at the Nanoscale VI”, Anaheim, CA, USA (2022)
Duarte, M. J.; Fang, X.; Rao, J.; Dehm, G.: Hydrogen-microstructure interactions at small scale by in-situ nanoindentation during hydrogen charging. Nanobrücken 2020: A nanomechanical Testing Conference, Düsseldorf, Germany (2020)
Rao, J.: Hydrogen effects on the mechanical behaviour of FeCr alloys investigated by in-situ nanoindentation. Dissertation, Ruhr-Universität Bochum (2023)
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.