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AI model identifies high-performing battery electrolytes by starting from just 58 data points
In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even hundreds of millions of data points. Subscribe to our newsletter for the latest ...
A new paper from the lab of UChicago PME Asst. Prof. Chibueze Amanchukwu of the University of Chicago Pritzker School of Molecular Engineering built an active learning model that was able to explore a ...
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