Science on the double: How an AI-powered 'digital twin' accelerates chemistry and materials discoveries
Phys.org
February 17, 2026
Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) could reduce this interpretation cycle to minutes, enabling much faster insight into chemical processes relevant to energy storage, catalysis, and manufacturing.
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Originally published on Phys.org on 2/17/2026