首页|Study Results from Harbin Institute of Technology Broaden Understanding of Machi ne Learning (Tuning Lattice Thermal ConductivityIn Nbmotaw Refractory High-entr opy Alloys: Insights From Molecular Dynamics Using Machine Learning Potential)
Study Results from Harbin Institute of Technology Broaden Understanding of Machi ne Learning (Tuning Lattice Thermal ConductivityIn Nbmotaw Refractory High-entr opy Alloys: Insights From Molecular Dynamics Using Machine Learning Potential)
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 publish new report on Machine Learn ing. According to news reporting originatingfrom Harbin, People’s Republic of C hina, by NewsRx correspondents, research stated, “Refractory highentropyalloys (RHEAs) have attracted increasing interest due to their excellent mechanical pr opertiesunder extreme conditions. However, the lattice thermal conductivity is still not well studied.”
HarbinPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsHarbin Institute of Technology
NETL
NSTL
