首页|Reports Outline Machine Learning Study Results from Memorial University of Newfo undland (Machine Learning-aided Phase and Mechanical Properties Prediction In Mu lti-principal Element Alloys)
Reports Outline Machine Learning Study Results from Memorial University of Newfo undland (Machine Learning-aided Phase and Mechanical Properties Prediction In Mu lti-principal Element Alloys)
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 - Current study results on Machine Learn ing have been published. According tonews originating from St. John, Canada, by NewsRx correspondents, research stated, “Multi -principalelement alloys (MPEAs ) have gained significant attention recently owing to their distinct microstruct uralcharacteristics and enhanced mechanical properties. These alloys have the p otential to replace traditionalalloys by providing a range of tailored mechanic al properties, corrosion resistance, and radiation tolerance,all achievable thr ough complex compositions.”
St. JohnCanadaNorth and Central Amer icaAlloysCyborgsEmerging TechnologiesMachine LearningMemorial Universi ty of Newfoundland
NETL
NSTL
