Machine-learning oxybarometer developed using zircon trace-element chemistry and its applications
Shaohao Zou,
Matthew J. Brzozowski,
Xilian Chen
et al.
Abstract:Magmatic oxygen fugacity (fO2) is a fundamental property to understanding the long-term evolution of the Earth’s atmosphere and the formation of magmatic-hydrothermal mineral deposits. Classically, the magmatic fO2 is estimated using mineral chemistry, such as Fe-Ti oxides, zircon, and hornblende. These methods, however, are only valid within certain limits and/or require a significant amount of a priori knowledge. In this contribution, a new oxybarometer, constructed by data-driven machine learning algorithms… Show more
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