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USGS uses machine learning to estimate vast lithium reserves in Arkansas

A U.S. Geological Survey study has estimated that between 5 and 19 million tons of lithium reserves are located beneath southwestern Arkansas, utilizing machine learning and water testing. This potential reserve could meet projected global demand for lithium in car batteries nine times over by 2030 if commercially recoverable. The research focused on brines within the Smackover Formation, offering a way to extract valuable commodities from waste streams associated with oil and gas operations. AI

影响 This study highlights the potential for machine learning to identify critical resources, potentially impacting supply chains for energy transition technologies.

排序理由 The article details a scientific study using machine learning for resource estimation, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.4]

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USGS uses machine learning to estimate vast lithium reserves in Arkansas

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  1. HN — machine learning stories TIER_1 English(EN) · antidnan ·

    美国地质调查局利用机器学习展示阿肯色州巨大的锂潜力