ML for Materials Discovery

Module code: SPC723P

Credits: 15.0
Semester: SEM2

Contact: Dr Devis Di Tommaso

The ML in Materials Discovery module is designed to help you understand how artificial intelligence and machine learning can be applied to the domain of materials science for materials discovery and help you attain a deeper understanding of ML methods applied to real scientific datasets to refine your practical skills. In this module you will learn the basics of modern chemical informatics, and how AI and ML methods can be exploited to study material properties. Then you will apply these computational methods to design new materials, and to model and predict their properties. You will have the opportunity to apply these techniques to specific cutting-edge examples.

Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7