Machine learning and solar energy

As we build a clean energy future, solar cell research is booming. Right now, typical silicon solar cells can only capture about 30% of the light energy that lands on them, so current research is aiming to identify new, cheaper and more efficient materials to make these cells.

Cosmos spoke to Carl Belle, a researcher from RMIT University and the ARC Centre of Excellence in Exciton Science. He’s trying to find new candidate materials using an interesting approach – machine learning.

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