Reconstructing Earth’s atmospheric oxygenation history using machine learning

Earth’s oxygenation history can be reconstructed using machine learning and mafic igneous geochemical data. Agreement with independent proxy predictions for surface conditions implies that interior processes are critical in atmospheric oxygenation.

Bibliographic Details
Main Authors: Guoxiong Chen, Qiuming Cheng, Timothy W. Lyons, Jun Shen, Frits Agterberg, Ning Huang, Molei Zhao
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33388-5