Argonne Scientists Use AI to Identify New Materials for Carbon Capture
Argonne Scientists Use AI to Identify New Materials for Carbon Capture
Published
Publication Clean Technica
Systems Polaris
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.)