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 com...
Image: Phys.org
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.
Originally published at Phys.org
