首页|Studies in the Area of Machine Learning Reported from Ministry of Industry and I nformation Technology (Predicting the Oxidation Kinetic Rate and Near-surface Mi crostructural Evolution of Alumina-forming Ni-based Single Crystal Superalloy Ba sed …)
Studies in the Area of Machine Learning Reported from Ministry of Industry and I nformation Technology (Predicting the Oxidation Kinetic Rate and Near-surface Mi crostructural Evolution of Alumina-forming Ni-based Single Crystal Superalloy Ba sed …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“The near-su rface degradation of gamma’-strengthening phase caused by oxidation has a signif icanteffect on the mechanical properties of thin-walled Ni-based single crystal (SX) superalloys for turbineblade applications. It is essential yet still chal lenging to link alloy composition, oxidation behavior andnear-surface microstru cture to guide the design of high-performance SX superalloy.”
BeijingPeople’s Republic of ChinaAsi aCybersecurityCyborgsEmerging TechnologiesMachine LearningMinistry of Industry and Information Technology
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