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

Chemistry

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

H. Park, X. Yan, et al.

Discover how GHP-MOFassemble, a groundbreaking generative AI framework developed by Hyun Park and colleagues, is revolutionizing CO2 capture through the design of innovative metal-organic frameworks (MOFs) with exceptional adsorption capacities. This research highlights MOFs that outperform most existing structures, paving the way for greener technologies.

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