Gault, B.; Katnagallu, S.: Atom probe microscopy: a new playground for big data analysis? Workshop Big-Data-Driven Materials Science, Ringberg Castle, Rottach, Germany (2016)
Gault, B.; De Geuser, F.: A perspective on the ion projection in field ion & atom probe microscopy. Atom Probe Tomography & Microscopy 2016, Gyeongju, South Korea (2016)
Raabe, D.; Choi, P.-P.; Gault, B.; Ponge, D.; Yao, M.; Herbig, M.: Segregation engineering for self-organized nanostructuring of materials - from atoms to properties? APT&M 2016 - Atom Probe Tomography & Microscopy 2016 (55th IFES) , Gyeongju, South Korea (2016)
Kuzmina, M.; Gault, B.; Herbig, M.; Ponge, D.; Sandlöbes, S.; Raabe, D.: From grains to atoms: ping-pong between experiment and simulation for understanding microstructure mechanisms. Res Metallica Symposium, Department of Materials Engineering, KU Leuven, Leuven, The Netherlands (2016)
Herbig, M.; Ponge, D.; Gault, B.; Borchers, C.; Raabe, D.: Segregation and phase transformation at dislocations during aging in a Fe-9%Mn steel studied by correlative TEM-atom probe tomography. MSE 2014, Darmstadt, Germany (2014)
Krämer, M.; Favelukis, B.; Sokol, M.; Rosen, B. A.; Eliaz, N.; Kim, S.-H.; Gault, B.: Facilitating Atom Probe Tomography of Free-Standing 2D MXene Films. Atom Probe Tomography & Microscopy (APT&M) 2023, Leuven, Belgium (2023)
Bueno Villoro, R.; Luo, T.; Bishara, H.; Abdellaoui, L.; Gault, B.; Wood, M.; Snyder, G. J.; Scheu, C.; Zhang, S.: Effect of grain boundaries on electrical conductivity in Ti(Co,Fe)Sb half Heusler thermoelectrics. 719. WE-Heraeus-Seminar, Understanding Transport Processes on the Nanoscale for Energy Harvesting Devices, online (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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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…