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ChatGPT Accelerates Chemistry Discovery for Climate Response, Study Shows

UC Berkeley experts taught on difficult-to-aggregate research about certain materials that can be used to fight climate change, according to a new paper published in the Journal of the American Chemical Society. Zhiling Zheng. Image credit: UC Berkeley / Zhiling Zheng These datasets on the synergy of the highly-porous materials known as metal-organic frameworks (MOFs) will inform predictive models. The models will accelerate chemists’ ability to create or optimize MOFs, including ones that ....

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