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Informatics & digital metallurgy
Informatics & digital metallurgy
Development of AI and machine learning methodologies for material properties prediction and design
Application of Large Language Models for material property database construction
Thermodynamic calculations
Design & development of alloys
Design & development of alloys
Fundamental principles of physical metallurgy focusing on non-ferrous, high-temperature & high-performance systems including: superalloys, multi-principal element alloys, Cu-alloys and beyond
High-throughput make-test-characterise methodologies and integration into informatics tools
Engineered microstructures
Engineered microstructures
Right-first-time and resilient data-driven AM for high performance alloys
Graded and hybrid chemistries and microstructures for mechanical performance, in service reliability and oxidation/corrosion control
Advanced characterisation
Advanced characterisation
In-situ characterisation of material behaviour focusing on diffraction based methodologies
Non-destructive evaluation methods for deformation characterisation
Microscopy and diffraction methods for microstructural evolution
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