首页|Research Study Findings from Duke University Update Understanding of Machine Learning (Development of a machine learning finiterange nonlocal density functional)
Research Study Findings from Duke University Update Understanding of Machine Learning (Development of a machine learning finiterange nonlocal density functional)
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 - Research findings on artificial intelligence are discussed in a new report. According tonews reporting out of Durham, North Carolina, by NewsRx editors, research stated, “Kohn-Sham densityfunctional theory has been the most popular method in electronic structure calculations. To fulfill theincreasing accuracy requirements, new approximate functionals are needed to address key issues in existingapproximations.”
Duke UniversityDurhamNorth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
