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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Originally published by Cosmos as Machine learning and solar energy
Lauren Fuge is a science journalist at Cosmos. She holds a BSc in physics from the University of Adelaide and a BA in English and creative writing from Flinders University.
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