首页|National Technical University of Athens Researcher Reports on Findings in Machin e Learning (Accelerating Numerical Simulations of CO2 Geological Storage in Deep Saline Aquifers via Machine-Learning-Driven Grid Block Classification)
National Technical University of Athens Researcher Reports on Findings in Machin e Learning (Accelerating Numerical Simulations of CO2 Geological Storage in Deep Saline Aquifers via Machine-Learning-Driven Grid Block Classification)
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 - Investigators discuss new findings in artificial intelligence. According to news originating fromAthens, Greece, by NewsRx corre spondents, research stated, “The accurate prediction of pressure andsaturation distribution during the simulation of CO2 injection into saline aquifers is esse ntial for thesuccessful implementation of carbon sequestration projects.”
National Technical University of AthensAthensGreeceEuropeCyborgsEmerging TechnologiesMachine LearningMathe maticsNumerical Modeling
NETL
NSTL
