New AI model explores massive chemical space with minimal data (IMAGE)

University of Chicago

New AI model explores massive chemical space with minimal data

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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 virtual search space of one million potential battery electrolytes starting from just 58 data points.

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UChicago Pritzker School of Molecular Engineering / Stephen L. Garrett

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