Gault, B.: Can machine learning bring atom probe microscopy closer to analytical atomic-scale tomography. 12th International Symposium on Atomic Level Characterizations for New Materials and Devices (ALC 19), Kyoto, Japan (2019)
Kasian, O.; Schweinar, K.; Cherevko, S.; Gault, B.; Mayrhofer, K. J. J.: Correlating Atomic Scale Structure with Reaction Mechanisms: Electrocatalytic Evolution of Oxygen. 70th Annual Meeting of the International Society of Electrochemistry, Durban, South Africa (2019)
Gault, B.: An introduction to atom probe tomography: from fundamentals to atomic-scale insights into engineering materials. Rolls Royce Lunchtime Seminar, Derby, UK (2019)
Gault, B.: An introduction to atom probe tomography: from fundamentals to atomic-scale insights into engineering materials. Seminar, University of Manchester, Manchester, UK (2019)
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.
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.