首页|Researchers’ Work from Northeastern University Focuses on Machine Learning (Stud y On the Composition Design, Microstructure, Wear and Corrosion Resistant of Dup lex Stainless Steels Based On Machine Learning)
Researchers’ Work from Northeastern University Focuses on Machine Learning (Stud y On the Composition Design, Microstructure, Wear and Corrosion Resistant of Dup lex Stainless Steels Based On Machine Learning)
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 – Investigators publish new report on Ma chine Learning. According to news reportingfrom Liaoning, People’s Republic of China, by NewsRx journalists, research stated, “Duplex stainless steels(DSS) ha d good wear and corrosion resistance, making them potential substitutes instead of martensiticstainless steel as the material for water turbine blades. However , designing a DSS with high wear andcorrosion resistance using traditional tria l-and-error methods required a significant amount of time andcost.”
LiaoningPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningStainless SteelNortheast ern University
NETL
NSTL
