Physics-based AI unlocks first global predictions of carbon cycling in ocean sediments

Researchers at The University of Manchester have developed a new physics-based artificial intelligence approach that, for the first time, enables accurate global-scale predictions of how dissolved organic carbon moves between seawater and marine sediments, a crucial but previously unquantifiable component of the planet's carbon cycle.

Read it at Phys.org ↗

← Front page