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
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.
The development of pyiron started in 2011 in the CM department to foster the implementation, rapid prototyping and application of the highly advanced fully ab initio simulation techniques developed by the department. The pyiron platform bundles the different steps occurring in a typical simulation life cycle in a single software platform and…
The balance between different contributions to the high-temperature heat capacity of materials can hardly be assessed experimentally. In this study, we develop computationally highly efficient ab initio methods which allow us to gain insight into the relevant physical mechanisms. Some of the results have lead to breakdown of the common…
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…