Using machine learning to accurately simulate the oceanic barium distribution
Mete and colleagues used machine learning to predict the global distribution of oceanic barium…
Artificial Intelligence
Constraining Oceanic Copper Cycling through Artificial Intelligence and Ocean Circulation Inverse Model
Using available observations of dissolved copper, artificial neural networks, and an ocean circulation inverse model, authors calculated a global estimate of the 3-dimensional distribution and cycling of dissolved copper in the ocean.
Neural network as tools to replace oceanic data deficiencies
The importance of the cycle and speciation of nitrate and its isotopes (δ15N) in the ocean does not have to be demonstrated anymore. In an attempt to overcome the difficulty […]
Artificial intelligence helps investigate the oceanic zinc cycle
What explains the hitherto mysterious correlation between zinc (Zn) and silicon, an element not involved in the Zn cycle? Roshan and co-workers (2018, see reference below) used an artificial neural […]