Researchers at the University of California, Berkeley trained the generative artificial intelligence platform ChatGPT how to quickly create datasets on materials that can be used to fight climate change, the Berkeley College of Computing, Data Science and Society reported.
The research, published in the Journal of the American Chemical Society, was focused on highly porous materials called metal-organic frameworks (MOFs). The team used datasets on the synergy of these materials to inform predictive models using AI-enabled chatbots.
The generative AI platform allows the researchers to mine, tabulate and build large datasets about MOFs, Omar Yaghi, the professor who invented MOFs and an author of the study, said in the Berkeley article.
The researchers hope the breakthrough will lead to faster development of efficient and cost-effective MOFs, which can alleviate water scarcity and capture air pollution.
Read the full article on the Berkeley College of Computing, Data Science and Society website.
