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marine self-potential method
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- 1Physics-based machine learning targets seafloor sulfide deposits▼Encoding physics to learn marine self-potential: application to seafloor sulfide exploration
Researchers have presented a method that encodes physics directly into a machine learning framework for interpreting marine self-potential data, with the goal of locating seafloor massive sulfide deposits. The approach, published in an Oxford Academic journal, aims to make deep-sea mineral exploration more reliable by combining physical modelling with data-driven learning, a topic of growing interest amid demand for battery metals.