Physics based AI unlocks first global predictions of carbon cycling in ocean sediments
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 00:16 ET (29-Oct-2026 04:16 GMT/UTC)
Researchers at The University of Manchester have developed a physics-based artificial intelligence framework that, for the first time, enables global-scale predictions of dissolved organic carbon cycling between seawater and marine sediments. The approach reveals a previously unquantified component of Earth's carbon cycle and could improve climate models, support research into ocean-based climate mitigation strategies, and provide new insights into the long-term storage of carbon in marine environments.
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