AI in Materials Science and Engineering: Artificial Intelligence in Materials Science and Engineering involves using computational algorithms and data-driven methods to understand material behaviour, identify promising compositions, and support the development of new materials. Machine learning can analyse experimental measurements, simulation results, and materials databases to identify relationships that may be difficult to recognise through conventional analysis. This session covers predictive modelling, materials informatics, automated experimentation, computational materials discovery, microstructure analysis, process optimisation, and AI-assisted material design.
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