Dubosq, R.; Camacho, A.; Rogowitz, A.; Zhang, S.; Gault, B.: Influence of high-strain deformation on major element mobility in garnet: Nanoscale evidence from atom probe tomography. Journal of Metamorphic Geology 42 (3), pp. 355 - 372 (2024)
Dubosq, R.; Schneider, D.; Alfredo, C.; Gault, B.: Strain hardening induced by crystal plasticity: A new mechanism for brittle failure in garnets. Earth and Planetary Science Letters 617, 118273 (2023)
Dubosq, R.; Woods, E.; Gault, B.; Best, J. P.: Electron microscope loading and in situ nanoindentation of water ice at cryogenic temperatures. PLoS One 18 (2), e0281703 (2023)
Dubosq, R.; Schneider, D.; Zhou, X.; Gault, B.; Langelier, B.; Pleše, P.: Bubbles and atom clusters in rock melts: A chicken and egg problem. Journal of Volcanology and Geothermal Research 428, 107574 (2022)
Dubosq, R.; Rogowitz, A.; Schweinar, K.; Gault, B.; Schneider, D.: A 2D and 3D nanostructural study of naturally deformed pyrite: assessing the links between trace element mobility and defect structures. Contributions to Mineralogy and Petrology 174, 72 (2019)
Rogowitz, A.; Zaefferer, S.; Dubosq, R.: Direct observation of dislocation nucleation in pyrite using combined electron channelling contrast imaging and electron backscatter diffraction. Terra Nova 30 (6), pp. 423 - 430 (2018)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…