AI Applications in Metallurgy

(i) General information on artificial intelligence, big data and machine learning; (ii) Applications of artificial intelligence in materials science; (iii) Current challenges in the development of new alloys; (iv) Case studies of the use of artificial intelligence for the design of new shape memory alloys, high-entropy alloys and implant materials.

The module will use several examples of artificial intelligence methods to predict new alloy systems that meet a given set of requirements. Upon completion, students will be able to (i) use machine learning principles to tackle different material design challenges; (ii) construct databases for material design and similar tasks; (iii) select the optimal mathematical method and appropriate algorithms for specific material design tasks and subsequently suitable alloy systems, (iv) develop solutions for material design problems.

As part of the lecture, compulsory semester-long programming tasks are set to consolidate the course content.