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Jun 6, 2024

Scientist advance simulation of metal-organic frameworks with machine learning

Posted by in category: robotics/AI

Hydrogen storage, heat conduction, gas storage, CO2 and water sequestration—metal-organic frameworks (MOFs) have extraordinary properties due to their unique structure in the form of microporous crystals, which have a very large surface area despite their small size. This makes them extremely interesting for research and practical applications. However, MOFs are very complex systems that have so far required a great deal of time and computing power to simulate accurately.

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