Antonov, S.; Shi, R.; Li, D.; Kloenne, Z.; Zheng, Y.; Fraser, H. L.; Raabe, D.; Gault, B.: Atom Probe Tomographic Study of Precursor Metastable Phases and Their Influence on a Precipitation in the Metastable ß-titanium Alloy, Ti–5Al–5Mo–5V–3Cr. TMS 2021 Annual Meeting & Exhibition, online, Pittsburgh, PA, USA (2021)
Gault, B.; Kwiatkowski da Silva, A.; Zhao, H.; Ponge, D.; Raabe, D.: Atom probe tomography for studying the interplay of segregation and phase transformations. 17th International Conference on Aluminium Alloys, online, Grenoble, France (2020)
Gault, B.: An introduction to atom probe tomography: from fundamentals to atomic-scale insights into engineering materials. Rolls Royce Lunch Time Seminar, Derby, UK (2020)
Kwiatkowski da Silva, A.; Ponge, D.; Gault, B.; Raabe, D.: The Relevance of Interfacial Segregation for Controlling Second Phase Precipitation in Advanced High Strength Steels. TMS 2020 Annual Meeting & Exhibition, San Diego, CA, USA (2020)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
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.