首页|Findings on Machine Learning Discussed by Investigators at Chongqing University (Prediction of Hardness or Yield Strength for Ods Steels Based On Machine Learning)
Findings on Machine Learning Discussed by Investigators at Chongqing University (Prediction of Hardness or Yield Strength for Ods Steels Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Chongqing, People’s Repu blic of China, by NewsRx journalists, research stated, “Oxide dispersion strengt hened (ODS) steel has emerged as a highly promising cladding materials for Gener ation IV nuclear reactors due to its exceptional mechanical properties and remar kable resistance to irradiation, corrosion, and oxidation. In this study, the ma trix grain morphology, dispersion morphology, and phases of oxide particles in e ight ODS steels were studied by scanning transmission electron microscopy (STEM) , transmission electron microscopy (TEM), and high-resolution transmission elect ron microscopy (HRTEM).”
ChongqingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChongqing University
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