首页|New Findings from Chongqing University Describe Advances in Machine Learning (Pr ediction of formation energy for oxides in ODS steels by machine learning)
New Findings from Chongqing University Describe Advances in Machine Learning (Pr ediction of formation energy for oxides in ODS steels by machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. According tonews originating from Chongqi ng, People’s Republic of China, by NewsRx correspondents, research stated,“The phase and proportion of nano-oxides in oxide dispersion strengthened (ODS) steel s are determinedby the formation energy and the content of oxide-forming elemen ts, particularly minor reactive elements,which in turn influence the macroscopi c properties of the ODS steels.”
Chongqing UniversityChongqingPeople’ s Republic of ChinaAsiaAnionsCyborgsEmerging TechnologiesMachine Learn ingOxidesOxygen Compounds
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