Carbon Sim: CO₂ Removal Accelerator

This project uses machine learning to enhance and accelerate modeling of carbon dioxide removal strategies.

A photo of the sea colliding with a rocky shoreline.
A photo of the sea colliding with a rocky shoreline.

Yale University will create AI emulators to speed up simulations of carbon removal strategies, like ocean alkalinity enhancement. These tools will enable faster, more efficient site selection and impact modeling to scale climate solutions. 

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