Researchers at the University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon dioxide (CO2) into commercially valuable product with record efficiency.
The team leveraged AI to speed up the search for the key material in a new catalyst that coverts CO2 into ethylene – a chemical precursor to a wide range of products.
The resulting electrocatalyst is the most efficient in its class. If run using wind or solar power, the system also provides an efficient way to store electricity from the renewable sources.
“Using clean electricity to convert CO2 into ethylene, which has a $60bn global market, can improve the economics of both carbon capture and clean energy storage,” said Professor Ted Sargent, one of the senior authors on the research paper.
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