Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. BiGmax Spring Meeting 2022, Bochum, Germany (2022)
Polin, N.; Giron, S.; Adabifiroozjaei, E.; Yang, Y.; Saxena, A.; Gutfleisch, O.; Gault, B.: Atomic‐scale insights to design of high‐performing SmCo based sintered permanent magnets gained by atom probe tomography. 12th International Conference on Magnetic and Superconducting Materials (MSM22), Duisburg, Germany (2022)
Gault, B.: Pushing the analytical limits of atom probe tomography via cryo-enabled workflows. Microscience Microscopy Congress 2021, online, Oxford, UK (2021)
Gault, B.; Guillon, O.: Du térawatt au picomètre: Voyage au cœur des technologies de l’hydrogène. Café des Sciences de l’Ambassade de France en Allemagne, online, Berlin, Germany (2021)
Gault, B.: Advancing corrosion understanding with (cryo-) Atom Probe Tomography. Imperial College London - Rolls Royce corrosion seminar, online, London, UK (2021)
Gault, B.: Machine-Learning for Atom Probe Tomography. Workshop 'Research-data management, machine learning and material informatics for Superalloys', online, Bochum, Germany (2021)
Gault, B.: Introduction to atom probe tomography: performance and opportunities in characterizing microstructures. Metallic Microstructures: European Lectures Online (2021)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project aims to investigate the influence of grain boundaries on mechanical behavior at ultra-high strain rates and low temperatures. For this micropillar compressions on copper bi-crystals containing different grain boundaries will be performed.
Within this project we investigate chemical fluctuations at the nanometre scale in polycrystalline Cu(In,Ga)Se2 and CuInS2 thin-flims used as absorber material in solar cells.
This project aims to develop a testing methodology for the nano-scale samples inside an SEM using a high-speed nanomechanical low-load sensor (nano-Newton load resolution) and high-speed dark-field differential phase contrast imaging-based scanning transmission electron microscopy (STEM) sensor.
The thorough, mechanism-based, quantitative understanding of dislocation-grain boundary interactions is a central aim of the Nano- and Micromechanics group of the MPIE [1-8]. For this purpose, we isolate a single defined grain boundary in micron-sized sample. Subsequently, we measure and compare the uniaxial compression properties with respect to…