Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Dehm, G.; Ghidelli, M.: Toward engineered thin film metallic glasses with large mechanical properties: effect of composition and nanostructure. Seminar at Laboratoire des Sciences des Procédés et des Matériaux (LSPM), Paris Nord University, Paris, France (2021)
Brognara, A.; Nasri, I. F. M. A.; Bricchi, B. R.; Li Bassi, A.; Gauchotte, C.; Ghidelli, M.; Lidgi-Guigui, N.: Detection of estradiol by a SERS sensor based on TiO2 covered with gold nanoparticles. Applied Nanotechnology and Nanoscience International Conference – ANNIC 2019, Paris, France (2019)
Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Ghidelli, M.; Dehm, G.: On the mechanical properties and thermal stability of ZrxCu100-x thin film metallic glasses with different compositions. Nanobrücken 2021 - Nanomechanical Testing Conference virtual event, Düsseldorf, Germany (2021)
Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Ghidelli, M.; Dehm, G.: Effect of composition on mechanical properties and thermal stability of ZrCu thin film metallic glasses. European Materials Research Society (E-MRS) Spring Meeting 2021, Virtual Conference, Strasbourg, France (2021)
Devulapalli, V.; Frommeyer, L.; Ghidelli, M.; Liebscher, C.; Dehm, G.: From epitaxially grown thin films to grain boundary analysis in Cu and Ti. International Workshop on Advanced and In-situ Microscopies of Functional Nanomaterials and Devices, IAMNano, Düsseldorf, Germany (2019)
Brognara, A.: Design of ZrCu thin film metallic glasses with tailored mechanical properties through control of composition and nanostructure. Dissertation, RUB Bochum, Bochum, Germany (2025)
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
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.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…