首页|New Machine Learning Study Results Reported from Russian Academy of Sciences (Construction of Machine Learning Interatomic Potentials for Metals)
New Machine Learning Study Results Reported from Russian Academy of Sciences (Construction of Machine Learning Interatomic Potentials for Metals)
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 Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating from Ufa, Russia, by NewsRx correspondents, research stated, “Molecular dynamics (MD) is a powerful tool for modeling the phase and structural transformations and the evolutio n of defects and their influence on the metallic material properties. The accuracy of MD modeling directly depends on the quality of interatomic potentials.”
UfaRussiaCyborgsEmerging TechnologiesMachine LearningRussian Academy of Sciences
NETL
NSTL
