首页|Researchers at University of South China Have Published New Study Findings on Ma chine Learning (Deep Learning of Accurate Interatomic Potentials for Uranium, Zi rconium and Uranium-Zirconium Alloy)
Researchers at University of South China Have Published New Study Findings on Ma chine Learning (Deep Learning of Accurate Interatomic Potentials for Uranium, Zi rconium and Uranium-Zirconium Alloy)
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 – Data detailed on artificial intelligence have bee n presented. According to news reporting fromHengyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “Uranium-zirconium alloyis an impor tant nuclear fuel in Integral Fast Reactor, which is of great significance to st udy its basicphysical properties at high temperature by using advanced calculat ion methods.”
University of South ChinaHengyangPeo ple’s Republic of ChinaAsiaActinoid Series ElementsCyborgsEmerging Techn ologiesMachine LearningMolecular DynamicsPhysicsTransition ElementsUra niumZirconium
NETL
NSTL
