ML prediction in metal-organic frameworks

It looks like a great use case for machine learning, as the author states:

“The number of MOF structures is massive—there are thousands of experimentally synthesized structures, but also many more hypothesized ones—creating a need for efficient tools and approaches to quickly identify MOFs best suited for a given applications.”

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Yep plenty of interesting work being done on MOFs (good chunk of my PhD project)!
If anyone is interested in getting further up to speed then I’d reccomend this review from last year that gives a really good overview of what’s currently going on:

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

They also have an arXiv version if anyone experiences any issues with paywalls:

arXiv version of paper


Very very cool thanks!

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