首页|Report Summarizes Machine Learning Study Findings from U.S. Geological Survey (U SGS) (Evaluation of the Lithium Resource In the Smackover Formation Brines of So uthern Arkansas Using Machine Learning)
Report Summarizes Machine Learning Study Findings from U.S. Geological Survey (U SGS) (Evaluation of the Lithium Resource In the Smackover Formation Brines of So uthern Arkansas Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Nashville, Tennessee , by NewsRx editors, research stated, “Global demand for lithium,the primary co mponent of lithium-ion batteries, greatly exceeds known supplies, and this imbal ance isexpected to increase as the world transitions away from fossil fuel ener gy sources. High concentrations oflithium in brines have been observed in the S mackover Formation in southern Arkansas (>400 milligramsper liter).”
NashvilleTennesseeUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningU.S. G eological Survey (USGS)
NETL
NSTL
