首页|Research Conducted at Shanghai University Has Updated Our Knowledge about Machin e Learning [Element-configuration Dependent First-principles Machine Learning Studies of Multiple Alloying Effects On the Structure Stability of Co3(Al, W)]
Research Conducted at Shanghai University Has Updated Our Knowledge about Machin e Learning [Element-configuration Dependent First-principles Machine Learning Studies of Multiple Alloying Effects On the Structure Stability of Co3(Al, W)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Shanghai, People’s Republic of China , by NewsRx journalists, research stated, “Multiple alloying is desired to impro ve the stability of metastable Co3(Al, W) of Co-based superalloys. However, comp utational studies of alloying effects are costly due to the enormous combination s of compositions and configurations.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research and Development Program of China, Key Research Project of Zhejiang Laboratory, Shanghai Technical Service Center for A dvanced Ceramics Structure Design and Precision Manufacturing.
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai University