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)
Gault, B.: An introduction to atom probe tomography: from fundamentals to atomic-scale insights into engineering materials. Seminar, University of British Columbia, Vancouver, BC, Canada (2019)
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)
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
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…
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…