首页|Researchers from Northwestern Polytechnic University Discuss Findings in Machine Learning [Machine Learning-aided Design of Lace(Fe,mn,si)13h -type Magnetocaloric Materials for Roomtemperature Applications]
Researchers from Northwestern Polytechnic University Discuss Findings in Machine Learning [Machine Learning-aided Design of Lace(Fe,mn,si)13h -type Magnetocaloric Materials for Roomtemperature Applications]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Xi’an, People’s Repu blic of China, by NewsRx correspondents, research stated, “La(Fe,Si)13 magnetoca loric materials have attracted extensive attention in recent years due to their excellent magnetocaloric properties and low price. In this study, we established and compared several machine models and used a support vector machine for predicting the influences of different element contents on the Curie temperature.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNorthwestern Polytechnic Univ ersity
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