Argonne Scientists Use AI to Identify New Materials for Carbon Capture

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Scientific visualization of the AI-guided assembly of a novel metal organic framework with high carbon dioxide adsorption capacity and synthesizable linkers. Building blocks, predicted by generative AI, are shown on the left, while the final AI-predicted structure is shown on the right. (Image by Xiaoli Yan/University of Illinois Chicago and the ALCF Visualization & Data Analytics Team.)

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