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The race for capturing carbon hinges on finding needles in a haystack, and trial and error is too slow. You have billions and billions of possibilities, and then you must narrow down to candidates that are good carbon absorbers,” said Santanu Chaudhuri, professor of civil, materials and environmental engineering at UIC and director of manufacturing science and engineering at Argonne. “With this project, we have taken the first significant step towards closing that gap by using generative AI.

• https://today.uic.edu/researchers-generate-a-carbon-capture-breakthrough-using-ai-physics-and-supercomputers/

A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture.

• https://www.nature.com/articles/s42004-023-01090-2

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Frontiers of Generative AI and Large Language Models for Materials Design and Scale-up