Ever wonder how machine learning can empower material research?

Join our Materials Informatics workship at Building 80 on the 20th of November to engage with the pioneers in the field and get some hands-on practice on actual material research problems.

The aim of the workshop is to inform experimental researchers of the benefits of applying artificial intelligent approaches to materials design and to provide techniques to initiate machine learning to improve effectiveness in materials characterization.

Workshop Agenda

09:30-10:10 Prof Dave Winkler: Machine learning for materials: Opportunities and Challenges

10:10-10:50 Dr Logan Ward: Material Databases

10:50-11:10 Tea break

11:10-11:50 Dr Andy Song: Machine Learning Algorithms

11:50-12:10 Dr Tu Le: Examples of Machine Learning in Materials Development

12:10-12:30 Dr Nas Meftahi: Application of 2D and 3D Molecular Descriptors in Machine Learning

12:30-12:50 Dr Sherif Abbas: Using Python for Materials Informatics

12:50-13:30 Lunch

13:30-15:00 Hands-on session

Organizers

Dr Tu Le, Dr Sherif Abbas, Dr Nas Meftahi and Dr Andy Song

RSVP ASAP!