Gault, B.: Atom Probe Tomography to help Understand Deformation Mechanisms in Metallic Alloys. The International Conference on Metallurgical Coatings and Thin Films 2019, San Diego, CA, USA (2019)
Gault, B.: A not-so-brief introduction to atom probe tomography: from fundamentals to atomic-scale insights into engineering materials. Seminar, Imperial College London, London, UK (2019)
Kontis, P.; Cormier, J.; Raabe, D.; Gault, B.: The Role of Chromium and Cobalt Segregation at Dislocations on the γ Dissolution in Nickel Based Superalloys. 18th International Conference on the Strength of Materials (ICSMA 18), Ohio State University, Columbus, OH, USA (2018)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.