Meta AI helps build experimental catalyst database

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A combination of AI and advanced materials testing has been used to rapidly create an open-source database of electrocatalysts that could be vital to the energy transition.

Known as Open Catalyst Experiments 2024 (OCx24), the research was carried out by Meta, VSParticle (VSP) and the University of Toronto. Over the course of just a few months, the project saw 525 catalyst materials identified, synthesised and tested. It’s claimed the materials could play a key role in areas such as carbon capture, hydrogen production and battery chemistry.

Read more in The Engineer here