Machine learning for material science

This is a series of two online tutorials that covers the basics of using machine learning for material science.

Through two Youtube videos and a Google Colab notebook, Dr Sherif Abbas of RMIT University and Exciton Science will walk you through Python scripts that will enable you to classify materials and predict their properties.

These tutorials are targeted to Masters students, PhD candidates and scientists who have some experience with crystal structure (such as lattice constants and atomic positions).

You will require basic experience with programming (in any language; Python, C, C++, C#, Java, JavaScript, etc).

NB: You don't need to install Python on your computer. You can run Python online on the Google Colab notebook.

Google Colab Notebook

Follow this link to access the Google Colab notebook that accompanies this tutorial: https://colab.research.google.com/drive/1p6ORktVuni6dhGLB70WM_PLbdPvrDh_N

Tutorial Recordings

Chemistry Building, University of Melbourne, VIC, 3010
info@excitonscience.com

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Machine learning for material science

Machine learning for material science