In this tutorial you will learn about materials informatics - an emerging field of research at the intersection of materials science and machine learning. You will learn about machine learning, and how machine learning can be exploited for materials discovery. We will focus on a data analytics study of two-dimensional magnetic materials. At the end of this section of the workshop you will be able to predict the chemical stability for 2D materials candidates using machine learning.

Please see the article below for more information:

Rhone, T.D., Chen, W., Desai, S. et al. Data-driven studies of magnetic two-dimensional materials. Sci Rep 10, 15795 (2020). https://doi.org/10.1038/s41598-020-72811-z

And the following website for additional resources:

https://materials-intelligence.com/resources

The lecture associated with these excercises can be found here: https://www.youtube.com/watch?v=yiyFQNWs2F4